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Book
2015 IEEE Workshop on Automatic Speech Recognition and Understanding : ASRU 2015 : proceedings : December 13-17, 2015, Scottsdale, Arizona, USA
Author:
ISBN: 1479972924 1479972916 Year: 2015 Publisher: Piscataway, New Jersey : IEEE,

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Book
Dan-bōru hausu de miru yume : Shinjuku hōmuresu monogatari
Authors: ---
ISBN: 4794208073 9784794208071 Year: 1998 Publisher: Tōkyō : Sōshisha,

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Book
Incorporating knowledge sources into statistical speech recognition
Authors: --- ---
ISBN: 1441946764 0387858296 9786612019371 1282019376 038785830X Year: 2009 Publisher: New York : Springer,

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Incorporating Knowledge Sources into Statistical Speech Recognition offers solutions for enhancing the robustness of a statistical automatic speech recognition (ASR) system by incorporating various additional knowledge sources while keeping the training and recognition effort feasible. The authors provide an efficient general framework for incorporating knowledge sources into state-of-the-art statistical ASR systems. This framework, which is called GFIKS (graphical framework to incorporate additional knowledge sources), was designed by utilizing the concept of the Bayesian network (BN) framework. This framework allows probabilistic relationships among different information sources to be learned, various kinds of knowledge sources to be incorporated, and a probabilistic function of the model to be formulated. Incorporating Knowledge Sources into Statistical Speech Recognition demonstrates how the statistical speech recognition system may incorporate additional information sources by utilizing GFIKS at different levels of ASR. The incorporation of various knowledge sources, including background noises, accent, gender and wide phonetic knowledge information, in modeling is discussed theoretically and analyzed experimentally.

Keywords

Automatic speech recognition. --- Pattern recognition systems. --- Signal processing. --- Speech processing systems. --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Automatic speech recognition --- Electrical engineering. --- Statistical methods. --- Electric engineering --- Mechanical speech recognizer --- Speech recognition, Automatic --- Acoustics. --- Telecommunication. --- Computer Communication Networks. --- Computer engineering. --- Signal, Image and Speech Processing. --- Communications Engineering, Networks. --- Electrical Engineering. --- Computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Design and construction --- Engineering --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Image processing. --- Computer communication systems. --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Information networks --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Distributed processing


Book
Statistical pronunciation modeling for non-native speech processing
Authors: --- ---
ISBN: 1322197806 3642195857 3642195865 3642268145 Year: 2011 Publisher: Berlin ; Heidelberg : Springer-Verlag,

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In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Those deviations, may it be phoneme substitutions, deletions or insertions, can be modelled automatically with the new method presented here. The methods is based on a discrete hidden Markov model as a word pronunciation model, initialized on a standard pronunciation dictionary. The implementation and functionality of the methodology has been proven and verified with a test set of non-native English in the regarding accent. The book is written for researchers with a professional interest in phonetics and automatic speech and speaker recognition.

Keywords

Phonetics. --- Speech -- Research. --- Speech processing systems. --- Speech synthesis. --- Speech. --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Applied Physics --- Telecommunications --- Automatic speech recognition. --- Mechanical speech recognizer --- Speech recognition, Automatic --- Engineering. --- Computational linguistics. --- Phonology. --- Statistics. --- Signal, Image and Speech Processing. --- Language Translation and Linguistics. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Construction --- Industrial arts --- Technology --- Data processing --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Natural language processing (Computer science). --- Natural Language Processing (NLP). --- Phonology and Phonetics. --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Grammar, Comparative and general --- Signal processing. --- Image processing. --- Statistics . --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Grammar, Comparative and general Phonology --- Phonology


Digital
Statistical Pronunciation Modeling for Non-Native Speech Processing
Authors: --- ---
ISBN: 9783642195860 Year: 2011 Publisher: Berlin, Heidelberg Springer Berlin Heidelberg

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Book
Conversational dialogue systems for the next decade
Authors: --- ---
ISBN: 9811583951 9811583943 Year: 2021 Publisher: Springer Singapore

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This book compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to the classical problems of dialogue management, language generation, question answering, human–robot interaction, chatbots design and evaluation, as well as topics related to the human nature of the conversational phenomena such as humour, social context, specific applications for e-health, understanding, and awareness.


Book
Statistical Pronunciation Modeling for Non-Native Speech Processing
Authors: --- --- ---
ISBN: 9783642195860 Year: 2011 Publisher: Berlin Heidelberg Springer Berlin Heidelberg

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Abstract

In this work, the authors present a fully statistical approach to model non--native speakers' pronunciation. Second-language speakers pronounce words in multiple different ways compared to the native speakers. Those deviations, may it be phoneme substitutions, deletions or insertions, can be modelled automatically with the new method presented here. The methods is based on a discrete hidden Markov model as a word pronunciation model, initialized on a standard pronunciation dictionary. The implementation and functionality of the methodology has been proven and verified with a test set of non-native English in the regarding accent. The book is written for researchers with a professional interest in phonetics and automatic speech and speaker recognition.


Multi
Incorporating Knowledge Sources into Statistical Speech Recognition
Authors: --- --- ---
ISBN: 9780387858302 Year: 2009 Publisher: Boston, MA Springer Science+Business Media, LLC

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Abstract

Incorporating Knowledge Sources into Statistical Speech Recognition offers solutions for enhancing the robustness of a statistical automatic speech recognition (ASR) system by incorporating various additional knowledge sources while keeping the training and recognition effort feasible. The authors provide an efficient general framework for incorporating knowledge sources into state-of-the-art statistical ASR systems. This framework, which is called GFIKS (graphical framework to incorporate additional knowledge sources), was designed by utilizing the concept of the Bayesian network (BN) framework. This framework allows probabilistic relationships among different information sources to be learned, various kinds of knowledge sources to be incorporated, and a probabilistic function of the model to be formulated. Incorporating Knowledge Sources into Statistical Speech Recognition demonstrates how the statistical speech recognition system may incorporate additional information sources by utilizing GFIKS at different levels of ASR. The incorporation of various knowledge sources, including background noises, accent, gender and wide phonetic knowledge information, in modeling is discussed theoretically and analyzed experimentally.


Digital
Spoken Dialogue Systems Technology and Design
Authors: --- --- ---
ISBN: 9781441979346 Year: 2011 Publisher: New York, NY Springer New York

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Digital
Spoken Dialogue Systems for Ambient Environments : Second International Workshop, IWSDS 2010, Gotemba, Shizuoka, Japan, October 1-2, 2010. Proceedings
Authors: --- --- ---
ISBN: 9783642162022 9783642162015 9783642162039 Year: 2010 Publisher: Berlin, Heidelberg Springer

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