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ISCApad Archive » 2022 » ISCApad #288 » Resources

ISCApad #288

Friday, June 10, 2022 by Chris Wellekens

5 Resources

5-1 Books

5-1-1

Benjamin Weiss, 'Talker Quality in Human and Machine Interaction - Modeling the Listener’s Perspective in Passive and Interactive Scenarios'. T-Labs Series in Telecommunication Services. Springer Nature, Cham. (2020)

Benjamin Weiss (2020): 'Talker Quality in Human and Machine Interaction - Modeling the Listener’s Perspective in Passive and Interactive Scenarios'. T-Labs Series in Telecommunication Services. Springer Nature, Cham.

In this book, the background, state of research, and own contributions to the assessment and prediction of talker quality that is constituted in voice perception and in dialog are presented. Starting from theories and empirical findings from human interaction, major results and approaches are transferred to the domain of human-computer interaction. The main subject of this book is to contribute to the evaluation of spoken interaction in both humans and between human and computer, and in particular to the quality subsequently attributed to the speaking system or person, based on the listening and interactive experience.

https://rd.springer.com/book/10.1007/978-3-030-22769-2

5-1-2

W.F.Katz, P.F.Assman, 'The Routledge Handbook of Phonetics', Routledge.

The Routledge Handbook of Phonetics Edited by William F. Katz and Peter F. Assmann The Routledge Handbook of Phonetics provides a comprehensive and up-to-date compilation of research, history and techniques in phonetics. With contributions from 41 prominent authors from North America, Europe, Australia and Japan, and including over 130 figures to illustrate key points, this handbook covers all the most important areas in the field, including:

• The history and scope of techniques used, including speech synthesis, vocal tract imaging techniques, and obtaining information on under-researched languages from language archives;
• The physiological bases of speech and hearing, including auditory, articulatory, and neural explanations of hearing, speech, and language processes;
• Theories and models of speech perception and production related to the processing of consonants, vowels, prosody, tone, and intonation;

5-1-3

Proceedings of SLTU-CCURL2020

Dear all,

we are very happy to announce that the SLTU-CCURL2020 Proceedings are available online: https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/SLTUCCURLbook.pdf

This year, LREC2020 would have featured an extraordinary event: the first joint SLTU-CCURL2020 Workshop, which was planned as a two-day workshop, with 54 papers accepted either as oral and poster presentations.

The workshop program was enriched by two tutorials and two keynote speeches.

We will miss the presentations, the discussions and the overall stimulating environment very deeply.

We are thankful to ELRA and ISCA for their support to the workshop, to our Google sponsor and to the 60 experts of the Program Committee, who worked tirelessly in order to help us to select the best papers representing a wide perspective over NLP, speech and computational linguistics addressing less-resource languages.

Looking forward to better times when we will be able to meet in person again, we hope that you will find these workshop proceedings relevant and stimulating for your own research.

With our best wishes,

Claudia Soria, Laurent Besacier, Dorothee Beermann, and Sakriani Sakti

5-1-4

J.Blauert, J. Braasch, 'The Technology of Binaural Understanding', Springer and ASA-Press

My name is Jens Blauert, and you may recall me as an ESCA-Founder and ISCA-Goldmedalist. Although I am professor emeritus since many years, I am still active in science.
     Recently I published an edited book together with Jonas Braasch (Professor at RPI, Troy NY) at both SPRINGER and ASA-Press. The book?s title is ?The Technology of Binaural Understanding?. It attempts to bridge between audition and cognition and thus, as far as speech communication is concerned, between speech and language. The book's motto is:

     People, when exposed to acoustic stimuli, do not react directly to what they hear
     but rather to what they hear means to them.

   Obviously this is an issue which is also relevant for speech communication at large. Thus, I kindly ask you to consider whether this book would qualify for a book announcement in the ISCAPad. If a full book review were also feasible, I can send you an eBook-link, and after a reviewer is has been assigned, SPRINGER will deliver a printed copy to him/her.
--   Thank you for your efforts in advance!
     With best regards, Jens Blauert

.PS. Preface and table of contents of the book are available under the following link:
      https://www.springer.com/gp/book/9783030003852

5-1-5

Weiss B., Trouvain J., Barkat-Defradas M., Ohala J.J., 'Voice Attractiveness', Springer 2021

Voice Attractiveness

Voice attractiveness

Studies on Sexy, Likable, and Charismatic Speakers

Editors

Benjamin Weiss
Jürgen Trouvain
Melissa Barkat-Defradas
John J. Ohala

Describes the multifaceted aspects of voice that may seduce, irritate or euphorize, and determine the way people perceive us
Provides approaches to, and exemplary studies on various methods of addressing voice attractiveness
Discusses voice attractiveness in passive listening scenarios and in conversation
Presents studies on normal, pathological and professional speakers

5-1-6

Diana Sidtis, Foundations of Familiar Language, Wiley

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5-2 Database

5-2-1

Linguistic Data Consortium (LDC) update (May 2022)

In this newsletter:
30th Anniversary Highlight: Penn Treebank

New publications:
NUBUC
Samrómur Icelandic Speech 1.0

30th Anniversary Highlight: Penn Treebank
LDC’s Catalog features classic corpora responsible for critical advances in human language technology that continue to influence researchers. Among them are the Penn Treebank releases, Treebank-2 (LDC96T7) and Treebank-3 (LDC99T42).

The Penn Treebank project (1989-1996) produced seven million words tagged for part-of-speech, three million words of parsed text, over two million words annotated for predicate-argument structure and 1.6 million words of transcribed speech annotated for speech disfluencies (Taylor et al., 2003). Source material represents a diverse range of data, including Wall Street Journal (WSJ) articles, the Brown Corpus and Switchboard telephone conversations.

Penn Treebanks are used for a wide range of purposes, including the creation and training of parsers and taggers, work on machine translation and speech recognition, and research concerning joint syntactic and semantic role labeling. Their ongoing influence is evidenced by the popularity of Treebank-3 (LDC99T42), which continues to be one of LDC’s top ten most distributed corpora in the Catalog. In addition, the WSJ section has served as a model for treebanks across many languages (Nivre, 2008).

The Penn Treebank has inspired related annotation schemes, such as Proposition Bank, the Penn Discourse Treebank project, and word alignment annotation. In addition, LDC has developed revised English treebank guidelines resulting in the re-issue of the WSJ section (English News Text Treebank: Penn Treebank Revised (LDC2015T13)) and treebanked web text (e.g., English Web Treebank (LDC2012T13) and BOLT English Translation Treebank – Chinese Discussion Forum (LDC2020T09)).

Penn Treebank corpora and its related releases are available for licensing to LDC members and nonmembers. For more information about licensing LDC data, visit Obtaining Data.

New publications:
(1) NUBUC (NyU-BU contextually controlled stories Corpus) was developed by New York University, Max Planck Institute for Empirical Aesthetics and Boston University. It contains approximately three hours of English read speech from eight stories focused on linguistic keywords that were created specifically for this corpus, along with transcripts, syntactic annotations, and corpus metadata.

Stories are centered on a protagonist and bear a similarity to a modern fairy tale. Each story consists of approximately 2,000 words organized around critical keywords matched along multiple linguistic dimensions. The story texts comprise a total of 1024 sentences and 16,472 words. Each story was read by two different voice actors, one male and one female, in a neutral American English accent.

Recordings are 11-12 minutes in duration, for a total of about 90 minutes of continuous speech per speaker.

NUBUC is distributed via web download.

2022 Subscription Members will automatically receive copies of this corpus. 2022 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data at no cost.

*

(2) Samrómur Icelandic Speech 1.0 was developed by the Language and Voice Lab, Reykjavik University in cooperation with Almannarómur, Center for Language Technology. The corpus contains 145 hours of Icelandic prompted speech from 8,392 speakers representing 100,000 utterances.

Speech data was collected between October 2019 and May 2021 using the Samrómur website which displayed prompts to participants. The prompts were mainly from The Icelandic Gigaword Corpus, which includes text from novels, news, plays, and from a list of location names in Iceland. Additional prompts were taken from the Icelandic Web of Science and others were created by combining a name followed by a question or a demand. Prompts and speaker metadata are included in the corpus.

Samrómur Icelandic Speech 1.0 is distributed via web download.

2022 Subscription Members will automatically receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2022 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $250.

To unsubscribe from this newsletter, log in to your LDC account and uncheck the box next to “Receive Newsletter” under Account Options; or contact LDC for assistance.

Membership Coordinator

Linguistic Data Consortium

University of Pennsylvania

T: +1-215-573-1275

E: ldc@ldc.upenn.edu

M: 3600 Market St. Suite 810

Philadelphia, PA 19104

5-2-2

ELRA - Language Resources Catalogue - Update (May 2022)

We are happy to announce that 1 new written corpus, 4 new bilingual lexicons and 1 new monolingual lexicon are now available in our catalogue. Annotated tweet corpus in Arabizi, French and English ISLRN: 482-848-308-105-6 The purpose of the annotated tweet corpus in Arabizi, French and English constitution, completed in 2020, was to collect and annotate tweets in 3 languages (Arabizi, French and English) for 3 predefined themes (Hooliganism, Racism, Terrorism). It consists of 17,103 sequences annotated from 585,163 tweets (196,374 in English, 254,748 in French and 134,041 in Arabizi), including the themes “Others” and “Incomprehensible”. Among these sequences, 4,578 sequences having at least 20 tweets annotated with the 3 predefined themes (Hooliganism, Racism and Terrorism) were obtained, including 1,866 sequences with an opinion change. They are distributed as follows: 2,141 sequences in English (57,655 tweets), 1,942 sequences in French (48,854 tweets) and 495 sequences in Arabizi (21,216 tweets). A sub-corpus of 8,733 tweets (1,209 in English, 3,938 in French and 3,585 in Arabizi) annotated as “hateful”, according to topic/opinion annotations and by selecting tweets that contained insults, is also provided.

A Bilingual English-Ukrainian Lexicon of Named Entities Extracted from Wikipedia ISLRN: 110-617-195-245-4 The bilingual English-Ukrainian lexicon of named entities uses Wikipedia metadata as a source. The extracted named entity pairs are classified into five classes: PERSON, ORGANIZATION, LOCATION, PRODUCT, and MISC (miscellaneous). The lexicon consists of 624,168 pairs and comes in two formats: csv and xml. ArabLEX set of data
ArabLEX set of data consists of 4 databases dedicated to Arabic language:
ArabLEX: Database of Arabic General Vocabulary (DAG)
ISLRN: 879-334-992-724-8
A comprehensive full-form lexicon of Arabic general vocabulary including all inflected, conjugated and cliticized forms. Each entry is accompanied by a rich set of morphological, grammatical, and phonological attributes. Ideally suited for NLP applications, DAG provides precise phonemic transcriptions and full vowel diacritics designed to enhance Arabic speech technology. Quantity and size: 87,930,738 lines / 24,399 MB (23.8 GB)
ArabLEX: Database of Arabic Place Names (DAP)
ISLRN: 161-842-321-771-2
This full-form Arabic-English place name database provides worldwide coverage of common place names, given in standard MSA orthography, and includes all inflected and cliticized forms for each place name. In addition, precise phonemic transcriptions and full vowel diacritics are designed to enhance Arabic speech technology. Quantity and size: 6,455,201 lines / 812 MB
ArabLEX: Database of Foreign Names in Arabic (DAF)
ISLRN: 943-592-129-040-2
This full-form database covers non-Arab personal names in both Arabic and English, some Arabic script variants, vocalized or unvocalized formats, as well as inflected and cliticized forms. The precise phonemic transcriptions and full vowel diacritics are designed to enhance Arabic speech technology. Quantity and size: 226,784,907 lines / 32,181 MB (31.4 GB)
ArabLEX: Database of Arab Names (DAN)

ISLRN: 773-974-582-139-4
This full-form database covers Arab personal names (both given names and surnames) in both Arabic and English and contains a rich set of romanized name variants for each name with a variety of supplementary information such as gender, name type and frequency statistics. This comprehensive lexicon (over 6.4 million variants) contains precise phonemic transcriptions and vocalized Arabic for all inflected and cliticized forms for each name. Quantity and size: 218,215,875 lines / 32,659 MB (31.9 GB)

For more information on the catalogue or if you would like to enquire about having your resources distributed by ELRA, please contact us.
_________________________________________

Visit the ELRA Catalogue of Language Resources
Visit the Universal Catalogue
Archives of ELRA Language Resources Catalogue Updates

5-2-3

Speechocean – update (August 2019)

English Speech Recognition Corpus - Speechocean

At present, Speechocean has produced more than 24,000 hours of English Speech Recognition Corpora, including some rare corpora recorded by kids. Those corpora were recorded by 23,000 speakers in total. Please check the form below:

Name	Speakers	Hours
American English	8,441	8,029
Indian English	2,394	3,540
British English	2,381	3,029
Australian English	1,286	1,954
Chinese (Mainland) English	3,478	1,513
Canadian English	1,607	1,309
Japanese English	1,005	902
Singapore English	404	710
Russian English	230	492
Romanian English	201	389
French English	225	378
Chinese (Hong Kong) English	200	378
Italian English	213	366
Portugal English	201	341
Spainish English	200	326
German English	196	306
Korean English	116	207
Indonesian English	402	126

If you have any further inquiries, please do not hesitate to contact us.

Web: en.speechocean.com

Email: marketing@speechocean.com

5-2-4

Google 's Language Model benchmark

A LM benchmark is available at:https://github.com/ciprian-chelba/1-billion-word-language-modeling-benchmark

Here is a brief description of the project.

'The purpose of the project is to make available a standard training and test setup for language modeling experiments.

The training/held-out data was produced from a download at statmt.org using a combination of Bash shell and Perl scripts distributed here.

This also means that your results on this data set are reproducible by the research community at large.

Besides the scripts needed to rebuild the training/held-out data, it also makes available log-probability values for each word in each of ten held-out data sets, for each of the following baseline models:

unpruned Katz (1.1B n-grams),
pruned Katz (~15M n-grams),
unpruned Interpolated Kneser-Ney (1.1B n-grams),
pruned Interpolated Kneser-Ney (~15M n-grams)

ArXiv paper: http://arxiv.org/abs/1312.3005

Happy benchmarking!'

5-2-5

Forensic database of voice recordings of 500+ Australian English speakers

Forensic database of voice recordings of 500+ Australian English speakers

We are pleased to announce that the forensic database of voice recordings of 500+ Australian English speakers is now published.

The database was collected by the Forensic Voice Comparison Laboratory, School of Electrical Engineering & Telecommunications, University of New South Wales as part of the Australian Research Council funded Linkage Project on making demonstrably valid and reliable forensic voice comparison a practical everyday reality in Australia. The project was conducted in partnership with: Australian Federal Police, New South Wales Police, Queensland Police, National Institute of Forensic Sciences, Australasian Speech Sciences and Technology Association, Guardia Civil, Universidad Autónoma de Madrid.

The database includes multiple non-contemporaneous recordings of most speakers. Each speaker is recorded in three different speaking styles representative of some common styles found in forensic casework. Recordings are recorded under high-quality conditions and extraneous noises and crosstalk have been manually removed. The high-quality audio can be processed to reflect recording conditions found in forensic casework.

The database can be accessed at: http://databases.forensic-voice-comparison.net/

5-2-6

Audio and Electroglottographic speech recordings

Audio and Electroglottographic speech recordings from several languages

We are happy to announce the public availability of speech recordings made as part of the UCLA project 'Production and Perception of Linguistic Voice Quality'.

http://www.phonetics.ucla.edu/voiceproject/voice.html

Audio and EGG recordings are available for Bo, Gujarati, Hmong, Mandarin, Black Miao, Southern Yi, Santiago Matatlan/ San Juan Guelavia Zapotec; audio recordings (no EGG) are available for English and Mandarin. Recordings of Jalapa Mazatec extracted from the UCLA Phonetic Archive are also posted. All recordings are accompanied by explanatory notes and wordlists, and most are accompanied by Praat textgrids that locate target segments of interest to our project.

Analysis software developed as part of the project – VoiceSauce for audio analysis and EggWorks for EGG analysis – and all project publications are also available from this site. All preliminary analyses of the recordings using these tools (i.e. acoustic and EGG parameter values extracted from the recordings) are posted on the site in large data spreadsheets.

All of these materials are made freely available under a Creative Commons Attribution-NonCommercial-ShareAlike-3.0 Unported License.

This project was funded by NSF grant BCS-0720304 to Pat Keating, Abeer Alwan and Jody Kreiman of UCLA, and Christina Esposito of Macalester College.

Pat Keating (UCLA)

5-2-7

EEG-face tracking- audio 24 GB data set Kara One, Toronto, Canada

We are making 24 GB of a new dataset, called Kara One, freely available. This database combines 3 modalities (EEG, face tracking, and audio) during imagined and articulated speech using phonologically-relevant phonemic and single-word prompts. It is the result of a collaboration between the Toronto Rehabilitation Institute (in the University Health Network) and the Department of Computer Science at the University of Toronto.

In the associated paper (abstract below), we show how to accurately classify imagined phonological categories solely from EEG data. Specifically, we obtain up to 90% accuracy in classifying imagined consonants from imagined vowels and up to 95% accuracy in classifying stimulus from active imagination states using advanced deep-belief networks.

Data from 14 participants are available here: http://www.cs.toronto.edu/~complingweb/data/karaOne/karaOne.html.

If you have any questions, please contact Frank Rudzicz at frank@cs.toronto.edu.

Best regards,

Frank

PAPER Shunan Zhao and Frank Rudzicz (2015) Classifying phonological categories in imagined and articulated speech. In Proceedings of ICASSP 2015, Brisbane Australia

ABSTRACT This paper presents a new dataset combining 3 modalities (EEG, facial, and audio) during imagined and vocalized phonemic and single-word prompts. We pre-process the EEG data, compute features for all 3 modalities, and perform binary classi?cation of phonological categories using a combination of these modalities. For example, a deep-belief network obtains accuracies over 90% on identifying consonants, which is signi?cantly more accurate than two baseline supportvectormachines. Wealsoclassifybetweenthedifferent states (resting, stimuli, active thinking) of the recording, achievingaccuraciesof95%. Thesedatamaybeusedtolearn multimodal relationships, and to develop silent-speech and brain-computer interfaces.

5-2-8

TORGO data base free for academic use.

In the spirit of the season, I would like to announce the immediate availability of the TORGO database free, in perpetuity for academic use. This database combines acoustics and electromagnetic articulography from 8 individuals with speech disorders and 7 without, and totals over 18 GB. These data can be used for multimodal models (e.g., for acoustic-articulatory inversion), models of pathology, and augmented speech recognition, for example. More information (and the database itself) can be found here: http://www.cs.toronto.edu/~complingweb/data/TORGO/torgo.html.

5-2-9

Datatang

Datatang is a global leading data provider that specialized in data customized solution, focusing in variety speech, image, and text data collection, annotation, crowdsourcing services.

Summary of the new datasets (2018) and a brief plan for 2019.

? Speech data (with annotation) that we finished in 2018

Language	Datasets Length ( Hours )
French	794
British English	800
Spanish	435
Italian	1,440
German	1,800
Spanish (Mexico/Colombia)	700
Brazilian Portuguese	1,000
European Portuguese	1,000
Russian	1,000

?2019 ongoing speech project

Type	Project Name
Europeans speak English	1000 Hours-Spanish Speak English
	1000 Hours-French Speak English
	1000 Hours-German Speak English
Call Center Speech	1000 Hours-Call Center Speech
off-the-shelf data expansion	1000 Hours-Chinese Speak English
off-the-shelf data expansion	1500 Hours-Mixed Chinese and English Speech Data

On top of the above, there are more planed speech data collections, such as Japanese speech data, children`s speech data, dialect speech data and so on.

What is more, we will continually provide those data at a competitive price with a maintained high accuracy rate.

If you have any questions or need more details, do not hesitate to contact us jessy@datatang.com

It would be possible to send you with a sample or specification of the data.

5-2-10

SIWIS French Speech Synthesis Database

The SIWIS French Speech Synthesis Database includes high quality French speech recordings and associated text files, aimed at building TTS systems, investigate multiple styles, and emphasis. A total of 9750 utterances from various sources such as parliament debates and novels were uttered by a professional French voice talent. A subset of the database contains emphasised words in many different contexts. The database includes more than ten hours of speech data and is freely available.

http://datashare.is.ed.ac.uk/handle/10283/2353

5-2-11

JLCorpus - Emotional Speech corpus with primary and secondary emotions

JLCorpus - Emotional Speech corpus with primary and secondary emotions:

For further understanding the wide array of emotions embedded in human speech, we are introducing an emotional speech corpus. In contrast to the existing speech corpora, this corpus was constructed by maintaining an equal distribution of 4 long vowels in New Zealand English. This balance is to facilitate emotion related formant and glottal source feature comparison studies. Also, the corpus has 5 secondary emotions along with 5 primary emotions. Secondary emotions are important in Human-Robot Interaction (HRI), where the aim is to model natural conversations among humans and robots. But there are very few existing speech resources to study these emotions,and this work adds a speech corpus containing some secondary emotions.

Please use the corpus for emotional speech related studies. When you use it please include the citation as:

Jesin James, Li Tian, Catherine Watson, 'An Open Source Emotional Speech Corpus for Human Robot Interaction Applications', in Proc. Interspeech, 2018.

To access the whole corpus including the recording supporting files, click the following link: https://www.kaggle.com/tli725/jl-corpus, (if you have already installed the Kaggle API, you can type the following command to download: kaggle datasets download -d tli725/jl-corpus)

Or if you simply want the raw audio+txt files, click the following link: https://www.kaggle.com/tli725/jl-corpus/downloads/Raw%20JL%20corpus%20(unchecked%20and%20unannotated).rar/4

The corpus was evaluated by a large scale human perception test with 120 participants. The link to the survey are here- For Primary emorion corpus: https://auckland.au1.qualtrics.com/jfe/form/SV_8ewmOCgOFCHpAj3

For Secondary emotion corpus: https://auckland.au1.qualtrics.com/jfe/form/SV_eVDINp8WkKpsPsh

These surveys will give an overall idea about the type of recordings in the corpus.

The perceptually verified and annotated JL corpus will be given public access soon.

5-2-12

OPENGLOT –An open environment for the evaluation of glottal inverse filtering

OPENGLOT –An open environment for the evaluation of glottal inverse filtering

OPENGLOT is a publically available database that was designed primarily for the evaluation of glottal inverse filtering algorithms. In addition, the database can be used in evaluating formant estimation methods. OPENGLOT consists of four repositories. Repository I contains synthetic glottal flow waveforms, and speech signals generated by using the Liljencrants–Fant (LF) waveform as an excitation, and an all-pole vocal tract model. Repository II contains glottal flow and speech pressure signals generated using physical modelling of human speech production. Repository III contains pairs of glottal excitation and speech pressure signal generated by exciting 3D printed plastic vocal tract replica with LF excitations via a loudspeaker. Finally, Repository IV contains multichannel recordings (speech pressure signal, EGG, high-speed video of the vocal folds) from natural production of speech.

OPENGLOT is available at:

http://research.spa.aalto.fi/projects/openglot/

5-2-13

Corpus Rhapsodie

Nous sommes heureux de vous annoncer la publication d¹un ouvrage consacré
au treebank Rhapsodie, un corpus de français parlé de 33 000 mots
finement annoté en prosodie et en syntaxe.

Accès à la publication : https://benjamins.com/catalog/scl.89 (voir flyer
ci-joint)

Accès au treebank : https://www.projet-rhapsodie.fr/
Les données librement accessibles sont diffusées sous licence Creative
Commons.
Le site donne également accès aux guides d¹annotations.

5-2-14

The My Science Tutor Children?s Conversational Speech Corpus (MyST Corpus) , Boulder Learning Inc.

The My Science Tutor Children?s Conversational Speech Corpus (MyST Corpus) is the world?s largest English children?s speech corpus. It is freely available to the research community for research use. Companies can acquire the corpus for $10,000. The MyST Corpus was collected over a 10-year period, with support from over $9 million in grants from the US National Science Foundation and Department of Education, awarded to Boulder Learning Inc. (Wayne Ward, Principal Investigator).

The MyST corpus contains speech collected from 1,374 third, fourth and fifth grade students. The students engaged in spoken dialogs with a virtual science tutor in 8 areas of science. A total of 11,398 student sessions of 15 to 20 minutes produced a total of 244,069 utterances. 42% of the utterances have been transcribed at the word level. The corpus is partitioned into training and test sets to support comparison of research results across labs. All parents and students signed consent forms, approved by the University of Colorado?s Institutional Review Board, that authorize distribution of the corpus for research and commercial use.

The MyST children?s speech corpus contains approximately ten times as many spoken utterances as all other English children?s speech corpora combined (see https://en.wikipedia.org/wiki/List_of_children%27s_speech_corpora).

Additional information about the corpus, and instructions for how to acquire the corpus (and samples of the speech data) can be found on the Boulder Learning Web site at http://boulderlearning.com/request-the-myst-corpus/.

5-2-15

HARVARD speech corpus - native British English speaker

HARVARD speech corpus - native British English speaker, digital re-recording

https://doi.org/10.17866/rd.salford.c.4437578.v1

5-2-16

Magic Data Technology Kid Voice TTS Corpus in Mandarin Chinese (November 2019)

Magic Data Technology Kid Voice TTS Corpus in Mandarin Chinese

Magic Data Technology is one of the leading artificial intelligence data service providers in the world. The company is committed to providing a wild range of customized data services in the fields of speech recognition, intelligent imaging and Natural Language Understanding.

This corpus was recorded by a four-year-old Chinese girl originally born in Beijing China. This time we published 15-minute speech data from the corpus for non-commercial use.

The contents and the corresponding descriptions of the corpus:

The corpus contains 15 minutes of speech data, which is recorded in NC-20 acoustic studio.
The speaker is 4 years old originally born in Beijing
Detail information such as speech data coding and speaker information is preserved in the metadata file.
This corpus is natural kid style.
Annotation includes four parts: pronunciation proofreading, prosody labeling, phone boundary labeling and POS Tagging.
The annotation accuracy is higher than 99%.
For phone labeling, the database contains the annotation not only on the boundary of phonemes, but also on the boundary of the silence parts.

The corpus aims to help researchers in the TTS fields. And it is part of a much bigger dataset (2.3 hours MAGICDATA Kid Voice TTS Corpus in Mandarin Chinese) which was recorded in the same environment. This is the first time to publish this voice!

Please note that this corpus has got the speaker and her parents’ authorization.

Samples are available.

Do not hesitate to contact us for any questions.

Website: http://www.imagicdatatech.com/index.php/home/dataopensource/data_info/id/360

E-mail: business@magicdatatech.com

5-2-17

FlauBERT: a French LM

Here is FlauBERT: a French LM learnt (with #CNRS J-Zay supercomputer) on a large and heterogeneous corpus. Along with it comes FLUE (evaluation setup for French NLP). FlauBERT was successfully applied to complex tasks (NLI, WSD, Parsing). More on https://github.com/getalp/Flaubert

More details on this online paper: https://arxiv.org/abs/1912.05372

5-2-18

ELRA-S0408 SpeechTera Pronunciation Dictionary

ELRA-S0408 Speechtera Pronunciation Dictionary

ISLRN: 645-563-102-594-8
The SpeechTera Pronunciation Dictionary is a machine-readable pronunciation dictionary for Brazilian Portuguese and comprises 737,347 entries. Its phonetic transcription is based on 13 linguistics varieties spoken in Brazil and contains the pronunciation of the frequent word forms found in the transcription data of the SpeechTera's speech and text database (literary, newspaper, movies, miscellaneous). Each one of the thirteen dialects comprises 56,719 entries.
For more information, see: http://catalog.elra.info/en-us/repository/browse/ELRA-S0408/

For more information on the catalogue, please contact Valérie Mapelli mailto:mapelli@elda.org

If you would like to enquire about having your resources distributed by ELRA, please do not hesitate to contact us.

Visit our On-line Catalogue: http://catalog.elra.info
Visit the Universal Catalogue: http://universal.elra.info
Archives of ELRA Language Resources Catalogue Updates: http://www.elra.info/en/catalogues/language-resources-announcements

5-2-19

Ressources of ELRC Network

Paris, France, April 23, 2020

ELRA is happy to announce that Language Resources collected within the ELRC Network, funded by the European Commission, are now available from the ELRA Catalogue of Language Resources.

In total, 180 Written Corpora, 5 Multilingual Lexicons and 2 Terminological Resources, are freely available under open licences and can be downloaded directly from the catalogue. Type 'ELRC' in the catalogue search engine (http://catalog.elra.info/en-us/repository/search/?q=ELRC) to access and download resources.

All these Language Resources can be used to support your Machine Translation solutions developments. They cover the official languages of the European Union and CEF associated countries.

More LRs coming from ELRC will be added as they become available.

*****
About ELRC
ELRC (European Language Resources Coordination) Network raises awareness and promote the acquisition and continued identification and collection of language resources in all official languages of the EU and CEF associated countries. These activities aim to help to improve the quality, coverage and performance of automated translation solutions in the context of current and future CEF digital services.

To find out more about ELRC, please visit the website: http://lr-coordination.eu

About ELRA
The European Language Resources Association (ELRA) is a non-profit-making organisation founded by the European Commission in 1995, with the mission of providing a clearing house for Language Resources and promoting Human Language Technologies. Language Resources covering various fields of HLT (including Multimodal, Speech, Written, Terminology) and a great number of languages are available from the ELRA catalogue. ELRA's strong involvement in the fields of Language Resources and Language Technologies is also emphasized at the LREC conference, organized every other year since 1998.

To find out more about ELRA, please visit the website: http://www.elra.info

For more information on the catalogue, please contact Valérie Mapelli
If you would like to enquire about having your resources distributed by ELRA, please do not hesitate to contact us.

Visit our On-line Catalogue: http://catalog.elra.info
Visit the Universal Catalogue: http://universal.elra.info
Archives of ELRA Language Resources Catalogue Updates: http://www.elra.info/en/catalogues/language-resources-announcements

5-2-20

ELRA announces that MEDIA data are now available for free for academic research

ELRA announces that MEDIA data are now available for free for academic research

Further to the request of the HLT French community to foster evaluation activities for man-machine dialogue systems for French language, ELRA has decided to provide a free access to the MEDIA speech corpora and evaluation package for academic research purposes.

The MEDIA data can be found in the ELRA Catalogue under the following references:

ELRA-E0024 MEDIA Evaluation Package

ELRA-S0272 MEDIA speech database for French

ELRA-S0371 PortMedia French and Italian corpus

Data available from the ELRA Catalogue can be obtained easily by contacting ELRA.

The MEDIA project was carried out within the framework of Technolangue, the French national research programme funded by the French Ministry of Research and New Technologies (MRNT) with the objective of running a campaign for the evaluation of man-machine dialogue systems for French. The campaign was distributed over two actions: an evaluation taking into account the dialogue context and an evaluation not taking into account the dialogue context.

PortMedia was a follow up project supported by the French Research Agency (ANR). The French and Italian corpus was produced by ELDA, with the same paradigm and specifications as the MEDIA speech database but on a different domain.

For more information and/or questions, please write to contact@elda.org.

*** About ELRA ***
The European Language Resources Association (ELRA) is a non-profit making organisation founded by the European Commission in 1995, with the mission of providing a clearing house for language resources and promoting Human Language Technologies (HLT).

To find out more about ELRA and its respective catalogue, please visit: http://www.elra.info and http://catalogue.elra.info

5-2-21

ELRA/ELDA Communication : LT4all

Out of the 7,000+ language spoken around the world, only a few have associated Language Technologies. The majority of languages can be considered as 'under-resourced' or as 'not supported'. This situation, very detrimental to many languages speakers, and specifically indigenous languages speakers, creates a digital divide, and places many languages in danger of digital extinction, if not complete extinction.

Organized as part of the 2019 International Year of Indigenous Languages, the 1st edition of LT4All (Language Technologies for All: Enabling Linguistic Diversity and Multilingualism Worldwide) took place in Paris at the UNESCO Headquarters on December 4-6, 2019 and gathered 400 participants from various backgrounds (including language science and technology researchers, linguists, industrials, indigenous peoples, language policy and decision makers) from all over the world.

The LT4All Programme and Editorial Committees are very happy to announce that the set of Research Papers and Posters collected at the occasion of LT4All is now available online at : https://lt4all.elra.info/proceedings/lt4all2019/

****
LT4All has been made possible thanks to the close cooperation between UNESCO, the Government of the Khanty-Mansiysk Autonomous Okrug-Ugra (Russian Federation), the European Language Resources Association (ELRA) and its Special Interest Group on Under-resourced languages (SIGUL), and in partnership with UNESCO Intergovernmental Information for All Programme (IFAP) and the Interregional Library Cooperation Centre, as well as with support of other public organizations and sponsors.

More information including the list of all the sponsors and supporters @ https://en.unesco.org/LT4All

5-2-22

Search and Find ELRA LRs on Google Dataset Search and ELG LT Platform

Search and Find ELRA LRs on Google Dataset Search and ELG LT Platform

ELRA is happy to announce that all the Language Resources from its Catalogue can now be searched and found on Google Dataset Search and on the ELG Language Technology platform developed within the European Language Grid project.

In order to allow the indexing by Google Dataset Search, ELRA has updated the code generating the catalogue pages. The code developed follows the schema.org standard and is publicly available in JSON format so that it can be used for other harvesting purposes.

The ELRA Catalogue is already indexed and harvested by famous repositories and archives such as OLAC (Open Language Archives Community), CLARIN Virtual Language Observatory and META-SHARE.

For 25 years now, ELRA has been distributing Language Resources to support research and development in various fields of Human Language Technology. The indexing on both Google Dataset Search and the ELG LT Plaform is increasing ELRA Catalogue?s visibility, making the LRs known to new visitors from the Human Language Technologies, Artificial Intelligence and other related fields.

*** About ELRA ***

The European Language Resources Association (ELRA) is a non-profit making organisation founded by the European Commission in 1995, with the mission of providing a clearing house for language resources and promoting Human Language Technologies (HLT).

ELRA Catalogue of Language Resources: http://catalogue.elra.info

More about ELRA, please visit: http://www.elra.info.

*** About Google Dataset Search ***

Google Dataset Search is a search engine for datasets that enables users to search through a list of data repositories indexed through a standardised schema.

More about Google Dataset Search: https://datasetsearch.research.google.com/

*** About European Language Grid ***

The European Language Grid (ELG) is a project funded by the European Union through the Horizon 2020 research and innovation programme. It aims to be a primary platform for Language Technology in Europe.

More about the European Language Grid project: https://www.european-language-grid.eu/

5-2-23

Sharing language resources (ELRA)

ELRA recognises the importance of sharing Language Resources (LRs) and making them available to the community.

Since the 2014 edition of LREC, the Language Resources and Evaluation Conference, participants have been offered the possibility to share their LRs (data, tools, web-services, etc.) when submitting a paper, uploading them in a special LREC repository set up by ELRA.

This effort of sharing LRs, linked to the LRE Map initiative (https://lremap.elra.info) for their description, contributes to creating a common repository where everyone can deposit and share data.

Despite the cancellation of LREC 2020 in Marseille, a high number of contributions was submitted and the LREC initiative 'Share your LRs' could be conducted to the end successfully.

Repositories corresponding to each edition of the conference are available here:

179 LRs shared in 2020 are available at https://bit.ly/3o836kM
125 LRs shared in 2018 are available at https://bit.ly/3dpWdq3
82 LRs shared in 2016 are available at http://ow.ly/KTzf30fXoCe
120 LRs shared in 2014 are available at http://ow.ly/9gDm30fVMiu

For more info and questions, please write to contact@elda.org.

5-2-24

The UCLA Variability Speaker Database

With NSF support, our interdisciplinary team of voice research at UCLA recently put together a public database that we believe will be of interest to many members of the ISCA community. On behalf of my co-authors (Patricia Keating, Jody Kreiman, Abeer Alwan, Adam Chong), I'm writing to ask if we could advertise our database in the ISCA newsletter. We'd really appreciate your help with this.

The database, the UCLA Variability Speaker Database, is freely available through UCLA's Box cloud, which can be accessed from our lab website: http://www.seas.ucla.edu/spapl/shareware.html#Data I should mention that the database will also be available from the Linguistic Data Consortium (LDC) as of October, 2021.

Here's a brief description of the database.

The UCLA Variability Speaker Database comprises high-quality audio recordings from 202 speakers, 101 men

and 101 women, performing 12 brief speech tasks in English over three recording sessions (total amount

of speech: 300-450 sec per speaker). This public database was designed to sample variability in speaking

within individual speakers and across a large number of speakers. The large set of speakers (similar in age)

sampled from the current university community is gender-balanced and has a variety of language backgrounds.

The database can serve as a testing ground for research questions involving between-speaker variability,

within-speaker variability, and text-dependent variability.

More details about the database are available in a readme file that can be sent on request.

--Cynthia Yoonjeong Lee

Postdoctoral Scholar, Department of Linguistics, UCLA

yoonjeonglee@ucla.edu | linguistylee.com

5-2-25

Free databases in Catalan, Spanish and Arabic (ELRA and UPC Spain)

We are pleased to announce that Language Resources entrusted to ELRA for distribution and shared by the Universitat Politecnica de Catalunya (UPC), in Spain, are now available for free for academic research purposes (for ELRA institutional members) and at substantially decreased costs for commercial purposes. All data have been developed to enhance Speech technologies in Catalan, Spanish and Arabic.

The Language Resources can be found in the ELRA Catalogue under the following references:

ELRA-S0101 Spanish SpeechDat(II) FDB-1000 (ISLRN: 415-072-153-167-5)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0101/
ELRA-S0102 Spanish SpeechDat(II) FDB-4000 (ISLRN: 295-399-069-106-4)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0102/
ELRA-S0140 Spanish SpeechDat-Car database (ISLRN: 937-459-364-430-3)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0140/
ELRA-S0141 SALA Spanish Venezuelan Database (ISLRN: 894-744-522-508-8)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0141/
ELRA-S0173 SALA Spanish Mexican Database (ISLRN: 077-043-759-782-3)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0173/
ELRA-S0183 OrienTel Morocco MCA (Modern Colloquial Arabic) database (ISLRN: 613-578-868-832-2)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0183/
ELRA-S0184 OrienTel Morocco MSA (Modern Standard Arabic) database (ISLRN: 978-839-138-181-8)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0184/
ELRA-S0185 OrienTel French as spoken in Morocco database (ISLRN: 299-422-451-969-8)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0185/
ELRA-S0186 OrienTel Tunisia MCA (Modern Colloquial Arabic) database (ISLRN: 297-705-745-294-4)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0186/
ELRA-S0187 OrienTel Tunisia MSA (Modern Standard Arabic) database (ISLRN: 926-401-827-806-5)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0187/
ELRA-S0188 OrienTel French as spoken in Tunisia database (ISLRN: 085-972-271-578-3)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0188/
ELRA-S0207 LC-STAR Catalan phonetic lexicon (ISLRN: 102-856-174-704-7)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0207/
ELRA-S0208 LC-STAR Spanish phonetic lexicon (ISLRN: 826-939-678-247-5)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0208/
ELRA-S0243 SpeechDat Catalan FDB database (ISLRN: 373-541-490-506-3)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0243/
ELRA-S0306 TC-STAR Transcriptions of Spanish Parliamentary Speech (ISLRN: 972-398-693-247-4 )
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0306/
ELRA-S0309 TC-STAR Spanish Baseline Female Speech Database (ISLRN: 682-113-241-701-0)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0309/
ELRA-S0310 TC-STAR Spanish Baseline Male Speech Database (ISLRN: 736-021-086-598-0)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0310/
ELRA-S0311 TC-STAR Bilingual Voice-Conversion Spanish Speech Database (ISLRN: 254-311-004-570-0)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0311/
ELRA-S0312 TC-STAR Bilingual Voice-Conversion English Speech Database (ISLRN: 522-613-023-181-1)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0312/
ELRA-S0313 TC-STAR Bilingual Expressive Speech Database (ISLRN: 088-656-828-489-3)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0313/
ELRA-S0336 Spanish Festival voice male (ISLRN: 868-352-143-949-9)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0336/
ELRA-S0337 Spanish Festival voice female (ISLRN: 396-262-481-019-0)
For more information, see: http://catalogue.elra.info/en-us/repository/browse/ELRA-S0337/

For more information on the catalogue, please contact Valérie Mapelli mailto:mapelli@elda.org

If you would like to enquire about having your resources distributed by ELRA, please do not hesitate to contact us.

Visit our On-line Catalogue: http://catalog.elra.info
Visit the Universal Catalogue: http://universal.elra.info
Archives of ELRA Language Resources Catalogue Updates: http://www.elra.info/en/catalogues/language-resources-announcements

5-2-26

USC 75-Speaker Speech MRI Database. Multispeaker speech production articulatory datasets of vocal tract MRI video

A USC Multispeaker speech production articulatory datasets of vocal tract MRI video
the 'USC 75-Speaker Speech MRI Database' is a new freely-available speech production data set with accompanying software tools:
https://www.nature.com/articles/s41597-021-00976-x

These data contain 2D sagittal-view RT-MRI videos along with synchronized audio for 75 subjects performing linguistically motivated speech tasks, alongside the corresponding raw RT-MRI data. The dataset also includes
3D volumetric vocal tract MRI during sustained speech sounds and high-resolution static anatomical T2-weighted upper airway MRI for each subject.

Other speech production datasets of articulatory data that are also freely available include a TIMIT articulatory data corpus and emotional speech production data, all available from: https://sail.usc.edu/span/resources.html

5-3 Software

5-3-1

Cantor Digitalis, an open-source real-time singing synthesizer controlled by hand gestures.

We are glad to announce the public realease of the Cantor Digitalis, an open-source real-time singing synthesizer controlled by hand gestures.

It can be used e.g. for making music or for singing voice pedagogy.

A wide variety of voices are available, from the classic vocal quartet (soprano, alto, tenor, bass), to the extreme colors of childish, breathy, roaring, etc. voices. All the features of vocal sounds are entirely under control, as the synthesis method is based on a mathematic model of voice production, without prerecording segments.

The instrument is controlled using chironomy, i.e. hand gestures, with the help of interfaces like stylus or fingers on a graphic tablet, or computer mouse. Vocal dimensions such as the melody, vocal effort, vowel, voice tension, vocal tract size, breathiness etc. can easily and continuously be controlled during performance, and special voices can be prepared in advance or using presets.

Check out the capabilities of Cantor Digitalis, through performances extracts from the ensemble Chorus Digitalis:
http://youtu.be/_LTjM3Lihis?t=13s.

In pratice, this release provides:

the synthesizer application
the source code in the form of a Max package (GPL-like license)
a documentation for the musician and another for the developper

What do you need ?

a Mac OSX
ideally a Wacom graphic tablet, but it also works with your computer mouse
for the developers, the Max software

Interested ?

To download the Cantor Digitalis, click here
To subscribe to the Cantor Digitalisnewsletter and/or the forum list, or to contact the developers, click here
To learn about the Chorus Digitalis, ensemble of Cantor Digitalisand watch videos of performances, click here
For more details about the Cantor Digitalis, click here

Regards,

The Cantor Digitalis team (who loves feedback — cantordigitalis@limsi.fr)
Christophe d'Alessandro, Lionel Feugère, Olivier Perrotin
http://cantordigitalis.limsi.fr/

5-3-2

MultiVec: a Multilingual and MultiLevel Representation Learning Toolkit for NLP

We are happy to announce the release of our new toolkit “MultiVec” for computing continuous representations for text at different granularity levels (word-level or sequences of words). MultiVec includes Mikolov et al. [2013b]’s word2vec features, Le and Mikolov [2014]’s paragraph vector (batch and online) and Luong et al. [2015]’s model for bilingual distributed representations. MultiVec also includes different distance measures between words and sequences of words. The toolkit is written in C++ and is aimed at being fast (in the same order of magnitude as word2vec), easy to use, and easy to extend. It has been evaluated on several NLP tasks: the analogical reasoning task, sentiment analysis, and crosslingual document classification. The toolkit also includes C++ and Python libraries, that you can use to query bilingual and monolingual models.

The project is fully open to future contributions. The code is provided on the project webpage (https://github.com/eske/multivec) with installation instructions and command-line usage examples.

When you use this toolkit, please cite:

@InProceedings{MultiVecLREC2016,

Title = {{MultiVec: a Multilingual and MultiLevel Representation Learning Toolkit for NLP}},

Author = {Alexandre Bérard and Christophe Servan and Olivier Pietquin and Laurent Besacier},

Booktitle = {The 10th edition of the Language Resources and Evaluation Conference (LREC 2016)},

Year = {2016},

Month = {May}

}

The paper is available here: https://github.com/eske/multivec/raw/master/docs/Berard_and_al-MultiVec_a_Multilingual_and_Multilevel_Representation_Learning_Toolkit_for_NLP-LREC2016.pdf

Best regards,

Alexandre Bérard, Christophe Servan, Olivier Pietquin and Laurent Besacier

5-3-3

An android application for speech data collection LIG_AIKUMA

We are pleased to announce the release of LIG_AIKUMA, an android application for speech data collection, specially dedicated to language documentation. LIG_AIKUMA is an improved version of the Android application (AIKUMA) initially developed by Steven Bird and colleagues. Features were added to the app in order to facilitate the collection of parallel speech data in line with the requirements of a French-German project (ANR/DFG BULB - Breaking the Unwritten Language Barrier).

The resulting app, called LIG-AIKUMA, runs on various mobile phones and tablets and proposes a range of different speech collection modes (recording, respeaking, translation and elicitation). It was used for field data collections in Congo-Brazzaville resulting in a total of over 80 hours of speech.

Users who just want to use the app without access to the code can download it directly from the forge direct link: https://forge.imag.fr/frs/download.php/706/MainActivity.apk

Code is also available on demand (contact elodie.gauthier@imag.fr and laurent.besacier@imag.fr).

More details on LIG_AIKUMA can be found on the following paper: http://www.sciencedirect.com/science/article/pii/S1877050916300448

5-3-4

Web services via ALL GO from IRISA-CNRS

It is our pleasure to introduce A||GO (https://allgo.inria.fr/ or http://allgo.irisa.fr/), a platform providing a collection of web-services for the automatic analysis of various data, including multimedia content across modalities. The platform builds on the back-end web service deployment infrastructure developed and maintained by Inria?s Service for Experimentation and Development (SED). Originally dedicated to multimedia content, A||GO progressively broadened to other fields such as computational biology, networks and telecommunications, computational graphics or computational physics.

As part of the CNRS PlaSciDo initiative [1], the Linkmedia team at IRISA / Inria Rennes is making available via A||GO a number of web services devoted to multimedia content analysis across modalities (language, audio, image, video). The web services provided currently include research results from the Linkmedia team as well as contribution from a number of partners. A list of the services available by the date is given below and the current state is available at https://www-linkmedia.irisa.fr/software along with demo videos. Most web services are interoperable, facilitating the implementation of a multimedia content analysis processing chain, and are free to use for trial, prototyping or lab work. A brief and free account creation step will allow you to execute the web-services using either the graphical interface or a command line via a dedicated API.

We expect the number of web services to grow over time and invite interested parties to contact us should they wish to contribute the multimedia web service offer of A||GO.

List of multimedia content analysis tools currently available on A||GO:
- Audio Processing
        SaMuSa: music/speech segmentation
        SilAD: silence detection
        Radi.sh: repeated audio motif discovery
        LORIA STS v2: speech transcription for the French language from LORIA
        Multi channel BSS locate: audio source localization toolbox from IRISA-PANAMA
        A-spade: audio declipper from IRISA-PANAMA
        Transvox: voice faker from LORIA
- Natural Language Processing
        NERO: name entity recognition
        TermEx: keywords/indexing terms detection
        Otis!: topic segmentation
        Hi-tost: hierarchical topic structuring
- Video Processing
        Vidseg: video shot segmentation
        HUFA: face detection and tracking
Shortcuts to Linkmedia services are also available here: https://www-linkmedia.irisa.fr/software/

For more information don't hesitate to contact us (contact-multimedia-allgo@irisa.fr).

Gabriel Sargent and Guillaume Gravier
--
Linkmedia
IRISA - CNRS
Rennes, France

5-3-5

Clickable map - Illustrations of the IPA

Clickable map - Illustrations of the IPA

We have produced a clickable map showing the Illustrations of the International Phonetic
Alphabet.

The map is being updated with each new issue of the Journal of the International Phonetic
Association.

https://richardbeare.github.io/marijatabain/ipa_illustrations_all.html

Marija Tabain - La Trobe University, Australia
Richard Beare - Monash University & MCRI, Australia

5-3-6

LIG-Aikuma running on mobile phones and tablets

Dear all,

LIG is pleased to inform you that the website for the app Lig-Aikuma is online: https://lig-aikuma.imag.fr/

In the same time, an update of Lig-Aikuma (V3) was made available (see website).

LIG-AIKUMA is a free Android app running on various mobile phones and tablets. The app proposes a range of different speech collection modes (recording, respeaking, translation and elicitation) and offers the possibility to share recordings between users. LIG-AIKUMA is built upon the initial AIKUMA app developed by S. Bird & F. Hanke (see https://en.wikipedia.org/wiki/Aikuma for more information)

Improvements of the app:

Visual upgrade:
+ Waveform visualizer on the Respeaking and Translation modes (possibility to zoom in/out the audio signal)
+ File explorer included in all modes, to facilitate the navigation between files
+ New Share mode to share recordings between devices (by Bluetooth, Mail, NFC if available)
+ French and German languages available. In addition to English, the application now supports French and German languages. Lig-Aikuma uses by default the language of the phone/tablet.
+ New icons, more consistent to discriminate all type of files (audio, text, image, video)

Conceptual upgrade:
+ New name for the root project: ligaikuma ?> /! Henceforth, all data will be stored into this directory instead of ?aikuma? (in the previous versions of the app). This change doesn?t have compatibility issues. In the file explorer of the mode, the default position is this root directory. Just go back once with the left grey arrow (on the lower left of the screen) and select the ?aikuma? directory to access to your old recordings
+ Generation of a PDF consent form (from informations filled in the metadata form) that can be signed by linguist and speaker thanks to a pdf annotation tool (like Adobe Fill & Sign mobile app)
+ Generation of a CSV file which can be imported in Elan software: it will automatically create segmented tier, as it was done during a respeaking or a translation session. It will also mention by a ?non-speech? label that a segment has no speech.
+ Géolocalisation of the recordings
+ Respeak an elicit file: it is now possible to use in Respeaking or Translation mode an audio file initially recorded in Elicitation mode

Structural upgrade:
+ Undo button on Elicitation to erase/redo the current recording
+ Improvement session backup on Elicitation
+ Non-speech button in Respeaking and Translation modes to indicate by a comment that the segment does not contain speech (but noise or silent for instance)
+ Automatic speaker profile creation to quickly fill in the metadata infos if several sessions with a same speaker

Best regards,

Elodie Gauthier & Laurent Besacier

5-3-7

Python Library

Nous sommes heureux d'annoncer la mise à disposition du public de la

première bibliothèque en langage Python pour convertir des nombres écrits en

français en leur représentation en chiffres.

L'analyseur est robuste et est capable de segmenter et substituer les expressions

de nombre dans un flux de mots, comme une conversation par exemple. Il reconnaît les différentes

variantes de la langue (quantre-vingt-dix / nonante?) et traduit aussi bien les

ordinaux que les entiers, les nombres décimaux et les séquences formelles (n° de téléphone, CB?).

Nous espérons que cet outil sera utile à celles et ceux qui, comme nous, font du traitment

du langage naturel en français.

Cette bibliothèque est diffusée sous license MIT qui permet une utilisation très libre.

Pypi : https://pypi.org/project/text2num/

Sources : https://github.com/allo-media/text2num

Doc : http://text2num.readthedocs.io/

--

Romuald Texier-Marcadé

http://www.allo-media.fr

5-3-8

Evaluation des troubles moteurs de la parole MONPAGE version 2.0.s

Chères et chers collègues,

Après plusieurs années de travail, nous avons le plaisir de vous annoncer la mise en ligne du protocole d?évaluation des troubles moteurs de la parole MONPAGE, version 2.0.s, à présent normalisé et validé.

Cet outil, mis librement à disposition de la communauté, est destiné à l?évaluation clinique des troubles moteurs de la parole légers à modérés (dysarthries et apraxies de la parole) chez l?adulte francophone. Il a été élaboré par un groupe de chercheurs et cliniciens belges, suisses, français et québécois. Il s?agit d?une batterie d?évaluation de la parole comprenant une passation informatisée (avec enregistrement des productions des patients) et des analyses perceptives et acoustiques semi-automatiques. Sa prise en main nécessite un minimum de compétences en phonétique acoustique.

Vous trouverez la présentation, les références, les ressources et les liens de téléchargement de MonPaGe-2.0.s sur le site : https://lpp.in2p3.fr/monpage/
Nous recommandons de commencer la prise en main en lisant le manuel de l'utilisateur.

N'hésitez pas à diffuser l'information!
Pour l?équipe MonPaGe,
Véronique

Prof. Véronique Delvaux, PhD
Chercheur qualifié FNRS à l'UMONS
Chargée de cours UMONS & ULB
Service de Métrologie et Sciences du Langage
Local ?1.7, Place du Parc, 18, 7000 Mons
+3265373140

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