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ISCApad #163 |
| Wednesday, January 11, 2012 by Chris Wellekens |
5 Resources
| 5-1-1 | Robert M. Gray, Linear Predictive Coding and the Internet Protocol Linear Predictive Coding and the Internet Protocol, by Robert M. Gray, a special edition hardback book from Foundations and Trends in Signal Processing (FnT SP). The book brings together two forthcoming issues of FnT SP, the first being a survey of LPC, the second a unique history of realtime digital speech on packet networks.
Volume 3, Issue 3 A Survey of Linear Predictive Coding: Part 1 of LPC and the IP By Robert M. Gray (Stanford University) http://www.nowpublishers.com/product.aspx?product=SIG&doi=2000000029
Volume 3, Issue 4
A History of Realtime Digital Speech on Packet Networks: Part 2 of LPC and the IP By Robert M. Gray (Stanford University) http://www.nowpublishers.com/product.aspx?product=SIG&doi=2000000036
The links above will take you to the article abstracts.
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| 5-1-2 | M. Embarki and M. Ennaji, Modern Trends in Arabic Dialectology Modern Trends in Arabic Dialectology,
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| 5-1-3 | 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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| 5-1-4 | 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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| 5-1-5 | 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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| 5-1-6 | 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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| 5-1-7 | 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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| 5-1-8 | 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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| 5-2-1 | Nominations for the Antonio Zampoli Prize (ELRA) The ELRA Board has created a prize to honour the memory of its first President, Professor Antonio Zampolli, a pioneer and visionary scientist
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| 5-2-2 | ELRA - Language Resources Catalogue - Update (2012-01) *****************************************************************
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| 5-2-3 | LDC Newsletter (December 2011) In this newsletter: - Spring 2012 LDC Data Scholarship Program - deadline approaching! - - LDC Exhibiting at LSA 2012 Annual Meeting - - LDC Hosts Satellite Workshop at LSA 2012 - - LDC to Close for Winter Break - New publications LDC2011S10 LDC2011S11 Spring 2012 LDC Data Scholarship Program - deadline fast approaching! The deadline for the Spring 2012 LDC Data Scholarship Program is less than a month away! Applications are being accepted through January 15, 2012. The LDC Data Scholarship program provides university students with access to LDC data at no cost. This program is open to students pursuing both undergraduate and graduate studies in an accredited college or university. LDC Data Scholarships are not restricted to any particular field of study; however, students must demonstrate a well-developed research agenda and a bona fide inability to pay. Students can email their applications to the LDC Data Scholarship program. Decisions will be sent by email from the same address. LDC Exhibiting at LSA 2012 Annual Meeting
LDC looks forward to mingling with linguists and language specialists when we exhibit at the 86th Annual Meeting of the Linguistic Society of America (LSA). The main conference will be held over January 5-8, 2012 at the Portland, OR Hilton and Executive Tower and the exhibit hall will be open from January 6-8th (limited hours on Sunday the 8th). Please stop by our display for news on what 2012 will hold for LDC and to receive some of our conference giveaways. LSA 2012 will feature plenary talks on the following topics:
For further information visit the LSA Annual Meeting website. If you would like to learn more about LDC’s conference preparations, please ‘like’ our Facebookpage. We hope to see you there!
LDC Hosts Satellite Workshop at LSA 2012
LDC will co-host a satellite workshop entitled Sociolinguistic Archival Preparation on January 4-5, 2012 in conjunction with the LSA 2012 Annual Meeting in Portland, OR. This two-day workshop will focus on techniques to permit the archiving of data, for cross-community sharing of corpora as well as for subsequent 'panel' studies. Recent discussions within the field have concluded that present protocols need to be expanded to permit adequate archiving. Specifically:
The sooner IRB forms and research protocols are aligned with each other, the sooner sharable, archiveable corpora will become available, permitting intergroup comparison and interdisciplinary collaboration. LDC's Executive Director, Christopher Cieri, and LDC consultant and University of Arizona scholar, Malcah Yaeger-Dror, are the workshop organizers. This workshop is funded in part by the National Science Foundation (BCS#1144480). Further information about the workshop is available on the LSA Annual Meeting website. LDC to Close for Winter Break
LDC will be closed from Monday, December 26, 2011 through Monday, January 2, 2012 in accordance with the University of Pennsylvania Winter Break Policy. Our offices will reopen on Tuesday, January 3, 2012. Requests received for membership renewals and corpora during the Winter Break will be processed at that time. Best wishes for a happy and safe holiday season! New Publications
(1) 2006 NIST Speaker Recognition Evaluation Test Set Part 1 was developed by LDC and National Institute of Standards and Technology (NIST). It contains 437 hours of conversational telephone and microphone speech in English, Arabic, Bengali, Chinese, Farsi, Hindi, Korean, Russian, Spanish, Thai and Urdu and associated English transcripts used as test data in the NIST-sponsored 2006 Speaker Recognition Evaluation (SRE). The ongoing series of SRE yearly evaluations conducted by NIST are intended to be of interest to researchers working on the general problem of text independent speaker recognition. The task of the 2006 SRE evaluation was speaker detection, that is, to determine whether a specified speaker is speaking during a given segment of conversational telephone speech. The task was divided into 15 distinct and separate tests involving one of five training conditions and one of four test conditions. Further information about the test conditions and additional documentation is available at the NIST web site for the 2006 SRE and within the 2006 SRE Evaluation Plan. The speech data in this release was collected by LDC as part of the Mixer project, in particular Mixer Phases 1, 2 and 3. The Mixer project supports the development of robust speaker recognition technology by providing carefully collected and audited speech from a large pool of speakers recorded simultaneously across numerous microphones and in different communicative situations and/or in multiple languages. The data is mostly English speech, but includes some speech in Arabic, Bengali, Chinese, Farsi, Hindi, Korean, Russian, Spanish, Thai and Urdu. The telephone speech segments are multi-channel data collected simultaneously from a number of auxiliary microphones. The files are organized into four types: two-channel excerpts of approximately 10 seconds, two-channel conversations of approximately 5 minutes, summed-channel conversations also of approximately 5 minutes and a two-channel conversation with the usual telephone speech replaced by auxiliary microphone data in the putative target speaker channel. The auxiliary microphone conversations are also of approximately five minutes in length. English language transcripts in .ctm format were produced using an automatic speech recognition (ASR) system. 2006 NIST Speaker Recognition Evaluation Test Set Part 1 is distributed on five DVD-ROM. *
(2) 2008 NIST Speaker Recognition Evaluation Supplemental Set was developed by LDC and National Institute of Standards and Technology (NIST) and contains additional data distributed after the main 2008 Speaker Recognition Evaluation (SRE). Specifically, the corpus consists of 770 hours of English microphone speech along with transcripts and other materials used as supplemental data in the 2008 NIST Speaker Recognition Evaluation (SRE) and in a follow-up evaluation to SRE08. The 2008 evaluation was distinguished from prior evaluations by including not only conversational telephone speech data but also conversational speech data of comparable duration recorded over a microphone channel involving an interview scenario. The follow-up evaluation focused on speaker detection in the context of conversational interview type speech and was designed to measure the performance of SRE08 systems in previously unexposed test segment channel conditions. LDC previously released the main 2008 NIST SRE Evaluation in three parts as 2008 NIST Speaker Recognition Evaluation Training Set Part 1 LDC2011S05, 2008 NIST Speaker Recognition Evaluation Training Set Part 2 LDC2011S07 and 2008 NIST Speaker Recognition Evaluation Test Set LDC2011S08. The speech data in this release was collected in 2007 by LDC at its Human Subjects Data Collection Laboratories in Philadelphia and by the International Computer Science Institute (ICSI) at the University of California, Berkeley. This collection was part of the Mixer 5 project, which was designed to support the development of robust speaker recognition technology by providing carefully collected and audited speech from a large pool of speakers recorded simultaneously across numerous microphones and in different communicative situations and/or in multiple languages. Mixer participants were native English and bilingual English speakers. The microphone speech in this corpus is in English and consists of approximately 3 minute and 30 minute interview excerpts. This supplemental data is split into four different parts which provide:
English language transcripts in .cfm format were produced using an automatic speech recognition (ASR) system and are included for some, but not all, speech data. 2008 NIST Speaker Recognition Evaluation Supplemental Set is distributed on five DVD-ROM.
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| 5-2-4 | Speechocean December 2011 update Speechocean - Language Resource Catalogue - New Released (2011-10)
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| 5-2-5 | ELDA Distribution Campaign 2011 ***************************************************************** ELDA Distribution Campaign 2011
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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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