ISCA - International Speech
Communication Association


ISCApad Archive  »  2020  »  ISCApad #261  »  Resources  »  Database

ISCApad #261

Saturday, March 14, 2020 by Chris Wellekens

5-2 Database
5-2-1Linguistic Data Consortium (LDC) update (February 2020)

 

 

In this newsletter:
Only Two Weeks Left to Enjoy 2020 Membership Discounts
LREC Workshop on Citizen Linguistics - Deadline Extended

New Publications:
TAC KBP English Event Argument - Training and Evaluation Data 2014-2015
Chinese CogBank
Machine Reading Phase 1 IC Training Data
IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b

 

Only Two Weeks Left to Enjoy 2020 Membership Discounts
There is still time to save on 2020 Membership fees. Through March 2, all organizations receive a discount on the 2020 Membership fee (up to 10%) when they choose to join or renew. For more information on membership benefits, visit Join LDC.

LREC Workshop on Citizen Linguistics - Deadline Extended
LDC Researchers and their colleagues are organizing a workshop on Citizen Linguistics and Language Resource Development at LREC 2020 (Language Resource and Evaluation Conference) to take place on May 16, 2020. The workshop includes an open call for papers in language-related citizen science, a tutorial on using the new LanguageARC.org citizen linguistics portal, and a special session on best papers using LanguageARC. Call for Papers deadline extended until February 24, 2020.

New publications:

(1) TAC KBP English Event Argument - Training and Evaluation Data 2014-2015 was developed by LDC and contains training and evaluation data produced in support of the 2014 TAC KBP English Event Argument Extraction Pilot and Evaluation tasks and the 2015 English Event Argument Extraction and Linking Training and Evaluation tasks.

The Event Argument Extraction and Linking task required systems to extract event arguments (entities or attributes playing a role in an event) from unstructured text, indicate the role they play in an event, and link the arguments appearing in the same event to each other. Since the extracted information must be suitable as input to a knowledge base, systems constructed tuples indicating the event type, the role played by the entity in the event, and the most canonical mention of the entity from the source document. The event types and roles were drawn from an externally-specified ontology of 31 event types, which included financial transactions, communication events, and attacks.

This corpus includes source documents, manual runs, assessments, and event hoppers, a form of identity coreference for events (2015 only).  Source data is English newswire and discussion forum text collected by LDC.

TAC KBP English Event Argument - Training and Evaluation Data 2014-2015 is distributed via web download.

2020 Subscription Members will automatically receive copies of this corpus. 2020 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $1000.

*

(2) Chinese CogBank is a database of cognitive properties of Chinese words intended for use in metaphor understanding and generation. It consists of 232,497 'word-property' pairs, which are comprised of 83,104 words and 100,195 properties. Each 'word-property' type also has an associated frequency which can stand as a functional measure of the importance of a property.

The data was collected via the Chinese search engine Baidu.com. The original collection consisted of 1,258,430 types (5,637,500 tokens) of 'word-adjective' pairs that were reduced in Chinese CogBank to 232,497 'word-property' pairs after a series of manual checks.

Chinese CogBank is distributed via web download.

2020 Subscription Members will automatically receive copies of this corpus. 2020 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $250.

*

(3) Machine Reading Phase 1 IC Training Data was developed by LDC for use in the DARPA (Defense Advanced Research Projects Agency) Machine Reading program. It contains 248 English source documents and 116 standoff annotation files, annotated with instances of explicit relations and their arguments, as well as some non-explicit relations.

The Machine Reading program aimed to develop automated reading systems to bridge the gap between knowledge contained in natural language texts and knowledge accessible to formal reasoning systems. The reading systems designed by program participants were required to extract and reason about facts from text in multiple domains.

The data in this release constitutes the training data for the IC (Core Domain) task, which tested the core domain by extracting information about Entities (people, organizations, geopolitical entities) and their involvement in four types of Relations (Attack Relations, Biographical Relations, Affiliation Relations and Family Relations), as described in newswire text. This information was then aligned with an IC Use Cases ontology that would allow automated reasoning about the extracted Entities and Relations.

Machine Reading Phase 1 IC Training Data is distributed via web download.

2020 Subscription Members will automatically receive copies of this corpus. 2020 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $1000.

*

(4) IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b was developed by Appen for the IARPA (Intelligence Advanced Research Projects Activity) Babel program. It contains approximately 204 hours of Dholuo conversational and scripted telephone speech collected in 2014 and 2015 along with corresponding transcripts.

The Dholuo speech in this release represents the South Nyanza and Trans-Yala dialect regions of Kenya. The gender distribution among speakers is approximately equal; speakers' ages range from 16 years to 65 years. Calls were made using different telephones (e.g., mobile, landline) from a variety of environments including the street, a home or office, a public place, and inside a vehicle.

IARPA Babel Dholuo Language Pack IARPA-babel403b-v1.0b is distributed via web download.

2020 Subscription Members will receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2020 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for $25.

*

 

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

 

 

 



Top

5-2-2ELRA - Language Resources Catalogue - Update (December 2019)
We are happy to announce that 1 new Written Corpus is now available in our catalogue.
ELRA-W0129 Arbobanko (Esperanto Treebank)
ISLRN: 185-602-618-699-2
The Esperanto Arbobanko Treebank is a 52,000 token dependency treebank of Esperanto with texts from the MONATO news magazine, consisting of random excerpts from the period 2000-2010. All words were annotated for lemma, part-of-speech, inflection, compounding and affixing, syntactic function, dependency links, NER types, semantic types of nouns and adjectives, and verb frame categories.
For more information, see: http://catalog.elra.info/en-us/repository/browse/ELRA-W0129/

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











Top

5-2-3Speechocean – 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

 

 

 

 

 

 


 


 

 

Top

5-2-4Google 's Language Model 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)

 

Happy benchmarking!'

Top

5-2-5Forensic 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/

Top

5-2-6Audio 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)

Top

5-2-7EEG-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.

 

Top

5-2-8TORGO 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.

Top

5-2-9Datatang

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

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.

 

 

 


Top

5-2-10SIWIS 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.
 
Top

5-2-11JLCorpus - 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.

Top

5-2-12OPENGLOT –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/

Top

5-2-13Corpus 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.

Top

5-2-14The 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/.   

Top

5-2-15HARVARD speech corpus - native British English speaker
  • HARVARD speech corpus - native British English speaker, digital re-recording
 
Top

5-2-16Magic 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

Top

5-2-17FlauBERT: 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 
Top

5-2-18ELRA-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

Top



 Organisation  Events   Membership   Help 
 > Board  > Interspeech  > Join - renew  > Sitemap
 > Legal documents  > Workshops  > Membership directory  > Contact
 > Logos      > FAQ
       > Privacy policy

© Copyright 2024 - ISCA International Speech Communication Association - All right reserved.

Powered by ISCA