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ISCApad #161 |
| Monday, November 07, 2011 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 | ELRA - Language Resources Catalogue - Update (2011-09) *****************************************************************
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| 5-2-2 | ELRA - Language Resources Catalogue - Special Offer *****************************************************************
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| 5-2-3 | LDC Newsletter (October 2011) In this newsletter: Fall 2011 LDC Data Scholarships recipients New publications: LDC2011S08 LDC2011T11 LDC2011T12
LDC is pleased to announce the student recipients of the Fall 2011 LDC Data Scholarship program! The LDC Data Scholarship program provides university students with access to LDC data at no-cost. Data scholarships are offered twice a year to correspond to the Fall and Spring semesters. Students are asked to complete an application which consists of a data use proposal and letter of support from their academic adviser.
Please join us in congratulating our student recipients! Look for our upcoming announcements about the submissions deadlines for the Spring 2012 LDC Data Scholarship program.
LDC at NWAV 2011 NWAV’s 40th Anniversary Conference will be hosted by Georgetown University from October 27-30 and LDC will be on-hand to celebrate! Please stop by the LDC exhibition at any point during the main conference and be sure to attend LDC’s pre-conference workshop on “Demographic Coding for Sociolinguistic Corpus Archive Preparation” from 4.00 – 6.00 pm on Thursday, October 27. This workshop will be hosted by LDC Executive Director Christopher Cieri and Malcah Yaeger-Dror of the University of Arizona. It has two stated goals:
NWAV registration options can be found here. We hope to see you there! Please visit LDC’s Facebook page to follow our conference activities. New publications (1) 2008 NIST Speaker Recognition Evaluation Test Set was developed by LDC and NIST (National Institute of Standards and Technology). It contains 942 hours of multilingual telephone speech and English interview speech along with transcripts and other materials used as test data in the 2008 NIST Speaker Recognition Evaluation (SRE). NIST SRE is part of an ongoing series of evaluations conducted by NIST. They are intended to be of interest to all researchers working on the general problem of text independent speaker recognition. The 2008 evaluation was distinguished from prior evaluations, in particular those in 2005 and 2006, 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. LDC previously released the 2008 NIST SRE Training Set in two parts as LDC2011S05 and LDC2011S07. 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 telephone speech in this corpus is predominantly English, but also includes the above languages. All interview segments are in English. Telephone speech represents approximately 368 hours of the data, whereas microphone speech represents the other 574 hours. English language transcripts in .cfm format were produced using an automatic speech recognition (ASR) system. 2008 NIST Speaker Recognition Evaluation Test Set is distributed on 9 DVD-ROM. * (2) Arabic Gigaword Fifth Edition is a comprehensive archive of newswire text data that has been acquired from Arabic news sources over several years by LDC. Arabic Gigaword Fifth Edition includes all of the content of the fourth edition of Arabic Gigaword (LDC2009T30) plus new data covering the period from January 1, 2009 through December 31, 2010. Nine distinct sources of Arabic newswire are represented in this distribution:
The seven-character codes shown above represent both the directory names where the data files are found, and the 7-letter prefix that appears at the beginning of every file name. The 7-letter codes consist of the three-character source name IDs and the three-character language code ('arb') separated by an underscore ('_') character. The three-character language code conforms to the ISO 639-3 standard. In addition to adding new data, the following updates were made:
Arabic Gigaword Fifth Edition is distributed on 1 DVD-ROM. 2011 Subscription Members will automatically receive two copies of this corpus. 2011 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for US$6000. * (3) Spanish Gigaword Third Edition was produced by LDC. It is a comprehensive archive of Spanish newswire text data that has been acquired over several years by LDC. Spanish Gigaword Third Edition includes all of the content of the second edition (LDC2009T21) and adds data collected from January 1, 2009 through December 31, 2010. The three distinct international sources of Spanish newswire in this edition, and the time spans of collection covered for each, are as follows:
The seven-letter codes in the parentheses above include the three-character source name abbreviations and the three-character language code ('spa') separated by an underscore ('_') character. The three-letter language code conforms to LDC's internal convention based on the ISO 639-3 standard. All text data are presented in SGML/XML form, using a very simple, minimal markup structure; all text consists of printable ASCII, whitespace, and printable code points in the 'Latin1 Supplement' character table, as defined by both ISO-8859-1 and the Unicode Standard (ISO 10646) for the 'accented' characters used in Spanish. The Supplement/accented characters are rendered using UTF-8 encoding. Spanish Gigaword Third Edition is distributed on 1 DVD-ROM. 2011 Subscription Members will automatically receive two copies of this corpus. 2011 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for US$4500.
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| 5-2-4 | Speechocean November 2011 update Speechocean - Language Resource Catalogue - New Released (2011-10) 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: Canadian French Speech Recognition Database - Sentences (Desktop) -- 200 speakers This Canadian French speech recognition database was collected by Speechocean’s project team in Canada. It contains the voices of 200 different native speakers who were demographic balanced according age distribution (mainly 16 – 30, 31 – 45, 46 – 60), gender (50±5% Males, 50±5% Females) and regional accents. A script pool with a total of 20,000 simple sentences was phonetically designed for both training and testing of speech recognizers. Each speaker has recorded 300 sentences which were randomly selected from the script pool. All speakers have been recorded in a quiet office room through two professional microphones. Each prompted utterance is stored in a separate file and each signal file is accompanied by an ASCII SAM label file which contains the relevant descriptive information. For more information, please see the technical document at the following link: http://www.speechocean.com/en-ASR-Corpora/616.html
UK English Speech Recognition Database ---- Sentences (Desktop)-200 Speakers This UK English desktop speech recognition database was collected by Speechocean’s project team in UK. This database is one of our databases of Speech Data ----Desktop Project (SDD) which contains the database collections for 30 languages presently. For more information, please see the technical document at the following link: http://www.speechocean.com/en-ASR-Corpora/792.html
UK TTS Speech database (Female) The UK English Speech Corpus consists in one native UK Female professional broadcaster (Female, 32 years old) recorded in a studio with high SNR (>35dB) over two channels (AKG C4000B microphone and Electroglottography (EGG) sensor). For more information, please see the technical document at the following link: http://www.speechocean.com/en-TTS-Corpora/799.html
US TTS speech database (Female) The US English Speech Corpus consists in one native US Female professional broadcaster (Female, 32 years old) recorded in a studio with high SNR (>35dB) over two channels (AKG C4000B microphone and Electroglottography (EGG) sensor).
Italian TTS speech database (Female) The Italian Speech Corpus consists in one native Italian Female professional broadcaster (Female, 32 years old) recorded in a studio with high SNR (>35dB) over two channels (AKG C4000B microphone and Electroglottography (EGG) sensor).
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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| 5-2-5 | 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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| 5-3-1 | 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 | ROCme8/ 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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