Trends in Speech Recognition

Trends in Speech Recognition PDF

Author: Wayne A. Lea

Publisher: Prentice Hall

Published: 1980

Total Pages: 596

ISBN-13:

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Thirty speech experts cover computer recognition of spoken words, phrases, & sentences. Introduces the field, future prospects & reasons for voice input to machines. Gives guidelines for advanced work in sentence understanding.

Speech Recognition and Coding

Speech Recognition and Coding PDF

Author: Antonio J. Rubio Ayuso

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 517

ISBN-13: 3642577458

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Based on a NATO Advanced Study Institute held in 1993, this book addresses recent advances in automatic speech recognition and speech coding. The book contains contributions by many of the most outstanding researchers from the best laboratories worldwide in the field. The contributions have been grouped into five parts: on acoustic modeling; language modeling; speech processing, analysis and synthesis; speech coding; and vector quantization and neural nets. For each of these topics, some of the best-known researchers were invited to give a lecture. In addition to these lectures, the topics were complemented with discussions and presentations of the work of those attending. Altogether, the reader is given a wide perspective on recent advances in the field and will be able to see the trends for future work.

The Application of Hidden Markov Models in Speech Recognition

The Application of Hidden Markov Models in Speech Recognition PDF

Author: Mark Gales

Publisher: Now Publishers Inc

Published: 2008

Total Pages: 125

ISBN-13: 1601981201

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The Application of Hidden Markov Models in Speech Recognition presents the core architecture of a HMM-based LVCSR system and proceeds to describe the various refinements which are needed to achieve state-of-the-art performance.

Speech Recognition and Coding

Speech Recognition and Coding PDF

Author: Antonio J. Rubio Ayuso

Publisher: Springer

Published: 2012-11-05

Total Pages: 505

ISBN-13: 9783642633447

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Based on a NATO Advanced Study Institute held in 1993, this book addresses recent advances in automatic speech recognition and speech coding. The book contains contributions by many of the most outstanding researchers from the best laboratories worldwide in the field. The contributions have been grouped into five parts: on acoustic modeling; language modeling; speech processing, analysis and synthesis; speech coding; and vector quantization and neural nets. For each of these topics, some of the best-known researchers were invited to give a lecture. In addition to these lectures, the topics were complemented with discussions and presentations of the work of those attending. Altogether, the reader is given a wide perspective on recent advances in the field and will be able to see the trends for future work.

Speech Recognition and Understanding

Speech Recognition and Understanding PDF

Author: Pietro Laface

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 557

ISBN-13: 3642766269

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The book collects the contributions to the NATO Advanced Study Institute on "Speech Recognition and Understanding: Recent Advances, Trends and Applications", held in Cetraro, Italy, during the first two weeks of July 1990. This Institute focused on three topics that are considered of particular interest and rich of i'p.novation by researchers in the fields of speech recognition and understanding: Advances in Hidden Markov modeling, connectionist approaches to speech and language modeling, and linguistic processing including language and dialogue modeling. The purpose of any ASI is that of encouraging scientific communications between researchers of NATO countries through advanced tutorials and presentations: excellent tutorials were offered by invited speakers that present in this book 15 papers which sum marize or detail the topics covered in their lectures. The lectures were complemented by discussions, panel sections and by the presentation of related works carried on by some of the attending researchers: these presentations have been collected in 42 short contributions to the Proceedings. This volume, that the reader can find useful for an overview, although incomplete, of the state of the art in speech understanding, is divided into 6 Parts.

Speech Recognition and Coding

Speech Recognition and Coding PDF

Author: Antonio J. Rubio Ayuso

Publisher: Springer

Published: 1995-10-20

Total Pages: 505

ISBN-13: 9783540600985

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Based on a NATO Advanced Study Institute held in 1993, this book addresses recent advances in automatic speech recognition and speech coding. The book contains contributions by many of the most outstanding researchers from the best laboratories worldwide in the field. The contributions have been grouped into five parts: on acoustic modeling; language modeling; speech processing, analysis and synthesis; speech coding; and vector quantization and neural nets. For each of these topics, some of the best-known researchers were invited to give a lecture. In addition to these lectures, the topics were complemented with discussions and presentations of the work of those attending. Altogether, the reader is given a wide perspective on recent advances in the field and will be able to see the trends for future work.

Artificial Intelligence and Speech Technology

Artificial Intelligence and Speech Technology PDF

Author: Amita Dev

Publisher: Springer Nature

Published: 2022-01-28

Total Pages: 691

ISBN-13: 303095711X

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This volume constitutes selected papers presented at the Third International Conference on Artificial Intelligence and Speech Technology, AIST 2021, held in Delhi, India, in November 2021. The 36 full papers and 18 short papers presented were thoroughly reviewed and selected from the 178 submissions. They provide a discussion on application of Artificial Intelligence tools in speech analysis, representation and models, spoken language recognition and understanding, affective speech recognition, interpretation and synthesis, speech interface design and human factors engineering, speech emotion recognition technologies, audio-visual speech processing and several others.

Automatic Speech Recognition

Automatic Speech Recognition PDF

Author: Dong Yu

Publisher: Springer

Published: 2014-11-11

Total Pages: 329

ISBN-13: 1447157796

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This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

Speech Technology

Speech Technology PDF

Author: Fang Chen

Publisher: Springer Science & Business Media

Published: 2010-07-01

Total Pages: 349

ISBN-13: 0387738193

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This book gives an overview of the research and application of speech technologies in different areas. One of the special characteristics of the book is that the authors take a broad view of the multiple research areas and take the multidisciplinary approach to the topics. One of the goals in this book is to emphasize the application. User experience, human factors and usability issues are the focus in this book.

Spoken Content Retrieval

Spoken Content Retrieval PDF

Author: Martha Larson

Publisher: Foundations and Trends(r) in I

Published: 2012-02

Total Pages: 204

ISBN-13: 9781601985286

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Speech media, i.e., digital audio and video containing spoken content, has blossomed in recent years. Large collections are accruing on the Internet as well as in private and enterprise settings. This growth has motivated extensive research work on techniques and technologies that facilitate reliable indexing and retrieval. Spoken content retrieval (SCR) requires a combination of audio and speech processing technologies with methods from information retrieval (IR). SCR research initially investigated planned speech structured in document-like units, but has subsequently shifted focus to more informal spoken content produced spontaneously, outside of the studio and in conversational settings. This survey provides an overview of the field of SCR encompassing component technologies, the relationship of SCR to text IR and automatic speech recognition and user interaction issues. It is aimed at researchers with backgrounds in speech technology or information retrieval who are seeking deeper insight on how these fields are integrated to support research and development addressing the core challenges of SCR.