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ISCApad #166 |
| Wednesday, April 11, 2012 by Chris Wellekens |
5 Resources
| 5-1-1 | Gokhan Tur , R De Mori, Spoken Language Understanding: Systems for Extracting Semantic Information from Speech Title: Spoken Language Understanding: Systems for Extracting Semantic Information from Speech Editors: Gokhan Tur and Renato De Mori Web: http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470688246.html Brief Description (please use as you see fit): Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.
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| 5-1-2 | Jody Kreiman, Diana Van Lancker Sidtis ,Foundations of Voice Studies: An Interdisciplinary Approach to Voice Production and Perception Foundations of Voice Studies: An Interdisciplinary Approach to Voice Production and Perception
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| 5-1-3 | G. Nick Clements and Rachid Ridouane, Where Do Phonological Features Come From?
Where Do Phonological Features Come From?
Edited by G. Nick Clements and Rachid Ridouane CNRS & Sorbonne-Nouvelle This volume offers a timely reconsideration of the function, content, and origin of phonological features, in a set of papers that is theoretically diverse yet thematically strongly coherent. Most of the papers were originally presented at the International Conference 'Where Do Features Come From?' held at the Sorbonne University, Paris, October 4-5, 2007. Several invited papers are included as well. The articles discuss issues concerning the mental status of distinctive features, their role in speech production and perception, the relation they bear to measurable physical properties in the articulatory and acoustic/auditory domains, and their role in language development. Multiple disciplinary perspectives are explored, including those of general linguistics, phonetic and speech sciences, and language acquisition. The larger goal was to address current issues in feature theory and to take a step towards synthesizing recent advances in order to present a current 'state of the art' of the field.
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| 5-1-4 | Dorothea Kolossa and Reinhold Haeb-Umbach: Robust Speech Recognition of Uncertain or Missing DataTitle: Robust Speech Recognition of Uncertain or Missing Data Editors: Dorothea Kolossa and Reinhold Haeb-Umbach Publisher: Springer Year: 2011 ISBN 978-3-642-21316-8 Link: http://www.springer.com/engineering/signals/book/978-3-642-21316-8?detailsPage=authorsAndEditors Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but also an estimate of its reliability to selectively focus on those segments and features that are most reliable for recognition. This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech signals, and audiovisual speech recognition. The book is appropriate for scientists and researchers in the field of speech recognition who will find an overview of the state of the art in robust speech recognition, professionals working in speech recognition who will find strategies for improving recognition results in various conditions of mismatch, and lecturers of advanced courses on speech processing or speech recognition who will find a reference and a comprehensive introduction to the field. The book assumes an understanding of the fundamentals of speech recognition using Hidden Markov Models.
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| 5-1-5 | Mohamed Embarki et Christelle Dodane: La coarticulation
LA COARTICULATION Mohamed Embarki et Christelle Dodane La parole est faite de gestes articulatoires complexes qui se chevauchent dans l’espace et dans le temps. Ces chevauchements, conceptualisés par le terme coarticulation, n’épargnent aucun articulateur. Ils sont repérables dans les mouvements de la mâchoire, des lèvres, de la langue, du voile du palais et des cordesvocales. La coarticulation est aussi attendue par l’auditeur, les segments coarticulés sont mieux perçus. Elle intervient dans les processus cognitifs et linguistiques d’encodage et de décodage de la parole. Bien plus qu’un simple processus, la coarticulation est un domaine de recherche structuré avec des concepts et des modèles propres. Cet ouvrage collectif réunit des contributions inédites de chercheurs internationaux abordant lacoarticulation des points de vue moteur, acoustique, perceptif et linguistique. C’est le premier ouvrage publié en langue française sur cette question et le premier à l’explorer dans différentes langues.
Collection : Langue & Parole, L'Harmattan ISBN : 978-2-296-55503-7 • 25 € • 260 pages
Mohamed Embarki Christelle Dodane
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| 5-1-6 | Ben Gold, Nelson Morgan, Dan Ellis :Speech and Audio Signal Processing: Processing and Perception of Speech and Music [Digital]Speech and Audio Signal Processing: Processing and Perception of Speech and Music [2nd edition] Ben Gold, Nelson Morgan, Dan EllisDigital copy: http://www.amazon.com/Speech-Audio-Signal-Processing-Perception/dp/product-description/1118142888 Hardcopy available: http://www.amazon.com/Speech-Audio-Signal-Processing-Perception/dp/0470195363/ref=sr_1_1?s=books&ie=UTF8&qid=1319142964&sr=1-1
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| 5-1-7 | Video Proceedings ERMITES 2011Actes vidéo des journées ERMITES 2011 'Décomposition Parcimonieuse, Contraction et Structuration pour l'Analyse de Scènes', sont en ligne sur : http://glotin.univ-tln.fr/ERMITES11 On y retrouve (en .mpg) la vingtaine d'heure des conférences de : Y. Bengio, Montréal «Apprentissage Non-Supervisé de Représentations Profondes » http://lsis.univ-tln.fr/~glotin/ERMITES_2011_Y_Bengio_1sur4.mp4 ... S. Mallat, Paris « Scattering & Matching Pursuit for Acoustic Sources Separation » http://lsis.univ-tln.fr/~glotin/ERMITES_2011_Mallat_1sur3.mp4 ... J.-P. Haton, Nancy « Analyse de Scène et Reconnaissance Stochastique de la Parole » http://lsis.univ-tln.fr/~glotin/ERMITES_2011_JP_Haton_1sur4.mp4 ... M. Kowalski, Paris « Sparsity and structure for audio signal: a *-lasso therapy » http://lsis.univ-tln.fr/~glotin/ERMITES_2011_Kowalski_1sur5.mp4 ... O. Adam, Paris « Estimation de Densité de Population de Baleines par Analyse de leurs Chants » http://lsis.univ-tln.fr/~glotin/ERMITES_2011_Adam.mp4 X. Halkias, New-York « Detection and Tracking of Dolphin Vocalizations » http://lsis.univ-tln.fr/~glotin/ERMITES_2011_Halkias.mp4 J. Razik, Toulon « Sparse coding : from speech to whales » http://lsis.univ-tln.fr/~glotin/ERMITES_2011_Razik.mp4 H. Glotin, Toulon « Suivi & reconstruction du comportement de cétacés par acoustique passive » ps : ERMITES 2012 portera sur la vision (Y. Lecun, Y. Thorpe, P. Courrieu, M Perreira, M. Van Gerven,...)
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| 5-1-8 | Zeki Majeed Hassan and Barry Heselwood (Eds): Instrumental Studies in Arabic Phonetics Instrumental Studies in Arabic Phonetics
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| 5-2-1 | ELRA - Language Resources Catalogue - Update (2012-03) *****************************************************************
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| 5-2-2 | LDC Newsletter (March 2012) In this newsletter: - 2012 LDC Survey Responses and Benefit Winner - New publications: LDC2012T02 LDC2012S04 2012 LDC Survey Responses and Benefit Winner Thanks to all who participated in the 2012 LDC Survey. Your responses were thoughtful and informative. We’re now analyzing the results; stay tuned for an announcement on the survey findings. In the meantime, please join us in congratulating Todor Ganchev from the University of Patras, Wire Communications Laboratory (WCL) for winning the survey participation benefit! As a reminder, one $500 benefit was awarded to a blindly-selected participant whose response was received by February 7, 2012. LDC at ICASSP 2012 LDC will be traveling across the globe to exhibit at its first IEEE-hosted event. The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) will be held at the Kyoto International Conference Center in Kyoto, Japan, on March 25 - 30, 2012. The ICASSP meeting is the world’s largest and most comprehensive technical conference focused on signal processing and its applications, and LDC is looking forward to interacting with members of this community. Please look for LDC’s exhibition at Booth #14 in the Annex Hall. We hope to see you there! New Publications (1) English Translation Treebank: An Nahar Newswire was developed by LDC and consists of 599 distinct newswire stories from the Lebanese publication An Nahar translated from Arabic to English and annotated for part-of-speech and syntactic structure. This corpus is part of an ongoing effort at LDC to produce parallel Arabic and English treebanks. The guidelines followed for both part-of-speech and syntactic annotation are Penn Treebank II style, with changes in the tokenization of hyphenated words, part-of-speech and tree changes necessitated by those tokenization changes and revisions to the syntactic annotation to comply with the updated annotation guidelines (including the 'Treebank-PropBank merge' or 'Treebank IIa' and 'treebank c' changes). The original Penn Treebank II guidelines, addenda describing changes to the guidelines and the tokenization specifications can be found on LDC's website. The data consists of 461,489 tokens in 599 individual files. The news stories in this release were published in An Nahar in 2002. The English sources files (translated from the Arabic) were automatically tokenized, part-of-speech tagged and parsed; the tokens, tags and parses were manually corrected. The quality control process consisted of a series of specific searches for over 100 types of potential inconsistency and parse or annotation error. Any errors found in those searches were manually corrected. Annotations are in the following two formats:
English Translation Treebank: An Nahar Newswire is distributed via web download. * (2) Malto Speech and Transcripts was developed by Masato Kobayashi, Associate Professor in Linguistics at the University of Tokyo (Japan), and Bablu Tirkey, research scholar at the Tribal and Regional Languages Department, Ranchi University (India). It contains approximately 8 hours of Malto speech data collected between 2005 and 2009 from 27 speakers (22 males, 5 females). Also included are accompanying transcripts, English translations and glosses for 6 hours of the collection. Speakers were asked to talk about themselves, their lives, rituals and folklore; elicitation interviews were then conducted. The goal of the work was to present the current state and dialectal variation of Malto. Malto is a Dravidian language spoken in northeastern India (principally the states of Bihar, Jharkhand and West Bengal) and Bangladesh by people called the Pahariyas. Indian census data places the number of Malto speakers in a range of between 100,000-200,000 total speakers. Most Malto speakers live in the three northeastern districts of Jharkhand, i.e, Sahebganj, Godda and Pakur; the fieldwork that resulted in this corpus was conducted in those districts. Of the Pahariyas in that area, three subtribes, the Sawriya Pahariyas, the Mal Pahariyas and the Kumarbhag Pahariyas, primarily speak Malto. The transcribed data accounts for 6 hours of the collection and contains 21 speakers (17 male, 4 female). The untranscribed data accounts for 2 hours of the collection and contains 10 speakers (9 male, 1 female). Four of the male speakers are present in both groups. All audio is presented in .wav format. Each audio file name includes a subject number, village name, speaker name and the topic discussed. The transcripts and glossary are UTF-8 text files. Because of ambiguities that occur when writing Malto in Devenagari script, the transcripts were developed using Roman script with symbols adapted from the International Phonetic Alphabet (IPA) but are not considered phonetic transcripts. Malto Speech and Transcripts is distributed on 1 DVD-ROM. 2012 Subscription Members will automatically receive two copies of this corpus. 2012 Standard Members may request a copy as part of their 16 free membership corpora. The first 100 copies distributed to non-member organizations are available at no charge. Shipping and handling fees apply.
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| 5-2-3 | Speechocean January 2012 update Speechocean - Language Resource Catalogue - New Released (01- 2012) Speechocean, as a global provider of language resources and data services, has more than 200 large-scale databases available in 80+ languages and accents covering the fields of Text to Speech, Automatic Speech Recognition, Text, Machine Translation, Web Search, Videos, Images etc.
Speechocean is glad to announce that more Speech Resources has been released:
Chinese and English Mixing Speech Synthesis Database (Female) The Chinese Mandarin TTS Speech Corpus contains the read speech of a native Chinese Female professional broadcaster recorded in a studio with high SNR (>35dB) over two channels (AKG C4000B microphone and Electroglottography (EGG) sensor). All speech data are segmented and labeled on phone level. Pronunciation lexicon and pitch extract from EEG can also be provided based on demands.
France French Speech Recognition Corpus (desktop) – 50 speakers This France French desktop speech recognition database was collected by SpeechOcean in France. This database is one of our databases of Speech Data ----Desktop Project (SDD) which contains the database collections for 30 languages presently. It contains the voices of 50 different native speakers who were balanced distributed by age (mainly 16 – 30, 31 – 45, 46 – 60), gender (28 males, 22 females) and regional accents. The script was specially designed to provide material for both training and testing of many classes of speech recognition applications. Each speaker recorded 500 utterances in a quiet office environment through two professional microphones. Each utterance is stored as 44.1K 16Bit uncompressed PCM format and accompanied by an ASCII SAM label file which contains the relevant descriptive information. A pronunciation lexicon with a phonemic transcription in SAMPA is also included.
UK English Speech Recognition Corpus (desktop) – 50 speakers This UK English desktop speech recognition database was collected by SpeechOcean in England. This database is one of our databases of Speech Data ----Desktop Project (SDD) which contains the database collections for 30 languages presently. It contains the voices of 50 different native speakers who were balanced distributed by age (mainly 16 – 30, 31 – 45, 46 – 60), gender (28 males, 22 females) and regional accents. The script was specially designed to provide material for both training and testing of many classes of speech recognition applications. Each speaker recorded 500 utterances in a quiet office environment through two professional microphones. Each utterance is stored as 44.1K 16Bit uncompressed PCM format and accompanied by an ASCII SAM label file which contains the relevant descriptive information. A pronunciation lexicon with a phonemic transcription in SAMPA is also included.
US English Speech Recognition Corpus (desktop) – 50 speakers This US English desktop speech recognition database was collected by SpeechOcean in America. This database is one of our databases of Speech Data ----Desktop Project (SDD) which contains the database collections for 30 languages presently. It contains the voices of 50 different native speakers who were balanced distributed by age (mainly 16 – 30, 31 – 45, 46 – 60), gender (25 males, 25 females) and regional accents. The script was specially designed to provide material for both training and testing of many classes of speech recognition applications. Each speaker recorded 500 utterances in a quiet office environment through two professional microphones. Each utterance is stored as 44.1K 16Bit uncompressed PCM format and accompanied by an ASCII SAM label file which contains the relevant descriptive information. A pronunciation lexicon with a phonemic transcription in SAMPA is also included.
Italian Speech Recognition Corpus (desktop) – 50 speakers This Italian desktop speech recognition database was collected by SpeechOcean in Italy. This database is one of our databases of Speech Data ----Desktop Project (SDD) which contains the database collections for 30 languages presently. It contains the voices of 50 different native speakers who were balanced distributed by age (mainly 16 – 30, 31 – 45, 46 – 60), gender (23 males, 27 females) and regional accents. The script was specially designed to provide material for both training and testing of many classes of speech recognition applications. Each speaker recorded 500 utterances in a quiet office environment through two professional microphones. Each utterance is stored as 44.1K 16Bit uncompressed PCM format and accompanied by an ASCII SAM label file which contains the relevant descriptive information. A pronunciation lexicon with a phonemic transcription in SAMPA is also included.
For more information about our Database and Services please visit our website www.Speechocen.com or visit our on-line Catalogue at http://www.speechocean.com/en-Product-Catalogue/Index.html If you have any inquiry regarding our databases and service please feel free to contact us: Xianfeng Cheng mailto: Chengxianfeng@speechocean.com Marta Gherardi mailto: Marta@speechocean.com
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| 5-2-4 | Appen ButlerHill
Appen ButlerHill A global leader in linguistic technology solutions RECENT CATALOG ADDITIONS—MARCH 2012 1. Speech Databases 1.1 Telephony
2. Pronunciation Lexica Appen Butler Hill has considerable experience in providing a variety of lexicon types. These include: Pronunciation Lexica providing phonemic representation, syllabification, and stress (primary and secondary as appropriate) Part-of-speech tagged Lexica providing grammatical and semantic labels Other reference text based materials including spelling/mis-spelling lists, spell-check dictionar-ies, mappings of colloquial language to standard forms, orthographic normalization lists. Over a period of 15 years, Appen Butler Hill has generated a significant volume of licensable material for a wide range of languages. For holdings information in a given language or to discuss any customized development efforts, please contact: sales@appenbutlerhill.com
4. Other Language Resources Morphological Analyzers – Farsi/Persian & Urdu Arabic Thesaurus Language Analysis Documentation – multiple languages
For additional information on these resources, please contact: sales@appenbutlerhill.com 5. Customized Requests and Package Configurations Appen Butler Hill is committed to providing a low risk, high quality, reliable solution and has worked in 130+ languages to-date supporting both large global corporations and Government organizations. We would be glad to discuss to any customized requests or package configurations and prepare a cus-tomized proposal to meet your needs.
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| 5-3-1 | Matlab toolbox for glottal analysis I am pleased to announce you that we made a Matlab toolbox for glottal analysis now available on the web at:
http://tcts.fpms.ac.be/~drugman/Toolbox/
This toolbox includes the following modules:
- Pitch and voiced-unvoiced decision estimation - Speech polarity detection - Glottal Closure Instant determination - Glottal flow estimation
By the way, I am also glad to send you my PhD thesis entitled “Glottal Analysis and its Applications”: http://tcts.fpms.ac.be/~drugman/files/DrugmanPhDThesis.pdf
where you will find applications in speech synthesis, speaker recognition, voice pathology detection, and expressive speech analysis.
Hoping that this might be useful to you, and to see you soon,
Thomas Drugman
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| 5-3-2 | ROCme!: a free tool for audio corpora recording and management ROCme!: nouveau logiciel gratuit pour l'enregistrement et la gestion de corpus audio.
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