New Era For Robust Speech Recognition

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New Era for Robust Speech Recognition

Shinji Watanabe,Marc Delcroix,Florian Metze,John R. Hershey
New Era for Robust Speech Recognition Book PDF

Author : Shinji Watanabe,Marc Delcroix,Florian Metze,John R. Hershey
Publisher : Springer
Page : 436 pages
File Size : 49,5 Mb
Release : 2017-10-30
Category : Computers
ISBN : 9783319646800

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New Era for Robust Speech Recognition by Shinji Watanabe,Marc Delcroix,Florian Metze,John R. Hershey Pdf

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.

Robust Automatic Speech Recognition

Jinyu Li,Li Deng,Reinhold Haeb-Umbach,Yifan Gong
Robust Automatic Speech Recognition Book PDF

Author : Jinyu Li,Li Deng,Reinhold Haeb-Umbach,Yifan Gong
Publisher : Academic Press
Page : 306 pages
File Size : 49,6 Mb
Release : 2015-10-30
Category : Technology & Engineering
ISBN : 9780128026168

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Robust Automatic Speech Recognition by Jinyu Li,Li Deng,Reinhold Haeb-Umbach,Yifan Gong Pdf

Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications. The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided. The reader will: Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognition Learn the links and relationship between alternative technologies for robust speech recognition Be able to use the technology analysis and categorization detailed in the book to guide future technology development Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition The first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks Connects robust speech recognition techniques to machine learning paradigms with rigorous mathematical treatment Provides elegant and structural ways to categorize and analyze noise-robust speech recognition techniques Written by leading researchers who have been actively working on the subject matter in both industrial and academic organizations for many years

Robust Speech Recognition of Uncertain or Missing Data

Dorothea Kolossa,Reinhold Haeb-Umbach
Robust Speech Recognition of Uncertain or Missing Data Book PDF

Author : Dorothea Kolossa,Reinhold Haeb-Umbach
Publisher : Springer Science & Business Media
Page : 380 pages
File Size : 40,9 Mb
Release : 2011-07-14
Category : Technology & Engineering
ISBN : 9783642213175

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Robust Speech Recognition of Uncertain or Missing Data by Dorothea Kolossa,Reinhold Haeb-Umbach Pdf

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.

Robust Speech

Michael Grimm,Kristian Kroschel
Robust Speech Book PDF

Author : Michael Grimm,Kristian Kroschel
Publisher : BoD – Books on Demand
Page : 471 pages
File Size : 53,5 Mb
Release : 2007-06-01
Category : Computers
ISBN : 9783902613080

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Robust Speech by Michael Grimm,Kristian Kroschel Pdf

This book on Robust Speech Recognition and Understanding brings together many different aspects of the current research on automatic speech recognition and language understanding. The first four chapters address the task of voice activity detection which is considered an important issue for all speech recognition systems. The next chapters give several extensions to state-of-the-art HMM methods. Furthermore, a number of chapters particularly address the task of robust ASR under noisy conditions. Two chapters on the automatic recognition of a speaker's emotional state highlight the importance of natural speech understanding and interpretation in voice-driven systems. The last chapters of the book address the application of conversational systems on robots, as well as the autonomous acquisition of vocalization skills.

Robustness in Automatic Speech Recognition

Jean-Claude Junqua,Jean-Paul Haton
Robustness in Automatic Speech Recognition Book PDF

Author : Jean-Claude Junqua,Jean-Paul Haton
Publisher : Springer Science & Business Media
Page : 457 pages
File Size : 46,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461312970

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Robustness in Automatic Speech Recognition by Jean-Claude Junqua,Jean-Paul Haton Pdf

Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines.

Speech Recognition Over Digital Channels

Antonio Peinado,Jose Segura
Speech Recognition Over Digital Channels Book PDF

Author : Antonio Peinado,Jose Segura
Publisher : John Wiley & Sons
Page : 274 pages
File Size : 50,9 Mb
Release : 2006-08-04
Category : Technology & Engineering
ISBN : 9780470024010

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Speech Recognition Over Digital Channels by Antonio Peinado,Jose Segura Pdf

Automatic speech recognition (ASR) is a very attractive means for human-machine interaction. The degree of maturity reached by speech recognition technologies during recent years allows the development of applications that use them. In particular, ASR shows an enormous potential in mobile environments, where devices such as mobile phones or PDAs are used, and for Internet Protocol (IP) applications. Speech Recognition Over Digital Channels is the first book of its kind to offer a complete system comprehension, addressing the topics of distributed and network-based speech recognition issues and standards, the concepts of speech processing and transmission, and system architectures and robustness. Describes the different client/server architectures for remote speech recognition systems, by means of which the client transmits speech parameters through a digital channel to a remote recognition server Focuses on robustness against both adverse acoustic environments (in the front-end) and bit errors/packet loss Discusses four ETSI standards for distributed speech recognition; the understanding of the standards and the technologies behind them Provides the necessary background for the comprehension of remote speech recognition technologies This book will appeal to a wide-ranging audience: engineers using speech recognition systems, researchers involved in ASR systems and those interested in processing and transmitting speech such as signal processing and communications communities. It will also be of interest to technical experts requiring an understanding of recognition over mobile and IP networks, and postgraduate students working on robust speech processing.

Text, Speech, and Dialogue

Kamil Ekštein
Text Speech and Dialogue Book PDF

Author : Kamil Ekštein
Publisher : Springer Nature
Page : 425 pages
File Size : 50,8 Mb
Release : 2019-09-02
Category : Computers
ISBN : 9783030279479

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Text, Speech, and Dialogue by Kamil Ekštein Pdf

This book constitutes the proceedings of the 22nd International Conference on Text, Speech, and Dialogue, TSD 2019, held in Ljubljana, Slovenia, in September 2019. The 33 full papers presented in this volume were carefully reviewed and selected from 73 submissions. They were organized in topical sections named text and speech. The book also contains one invited talk in full paper length.

Robust Speech Recognition in Embedded Systems and PC Applications

Jean-Claude Junqua
Robust Speech Recognition in Embedded Systems and PC Applications Book PDF

Author : Jean-Claude Junqua
Publisher : Springer Science & Business Media
Page : 178 pages
File Size : 46,5 Mb
Release : 2006-04-18
Category : Technology & Engineering
ISBN : 9780306470271

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Robust Speech Recognition in Embedded Systems and PC Applications by Jean-Claude Junqua Pdf

Robust Speech Recognition in Embedded Systems and PC Applications provides a link between the technology and the application worlds. As speech recognition technology is now good enough for a number of applications and the core technology is well established around hidden Markov models many of the differences between systems found in the field are related to implementation variants. We distinguish between embedded systems and PC-based applications. Embedded applications are usually cost sensitive and require very simple and optimized methods to be viable. Robust Speech Recognition in Embedded Systems and PC Applications reviews the problems of robust speech recognition, summarizes the current state of the art of robust speech recognition while providing some perspectives, and goes over the complementary technologies that are necessary to build an application, such as dialog and user interface technologies. Robust Speech Recognition in Embedded Systems and PC Applications is divided into five chapters. The first one reviews the main difficulties encountered in automatic speech recognition when the type of communication is unknown. The second chapter focuses on environment-independent/adaptive speech recognition approaches and on the mainstream methods applicable to noise robust speech recognition. The third chapter discusses several critical technologies that contribute to making an application usable. It also provides some design recommendations on how to design prompts, generate user feedback and develop speech user interfaces. The fourth chapter reviews several techniques that are particularly useful for embedded systems or to decrease computational complexity. It also presents some case studies for embedded applications and PC-based systems. Finally, the fifth chapter provides a future outlook for robust speech recognition, emphasizing the areas that the author sees as the most promising for the future. Robust Speech Recognition in Embedded Systems and PC Applications serves as a valuable reference and although not intended as a formal University textbook, contains some material that can be used for a course at the graduate or undergraduate level. It is a good complement for the book entitled Robustness in Automatic Speech Recognition: Fundamentals and Applications co-authored by the same author.

Recent Advances in Robust Speech Recognition Technology

Javier Ramirez
Recent Advances in Robust Speech Recognition Technology Book PDF

Author : Javier Ramirez
Publisher : Bentham Science
Page : 223 pages
File Size : 47,9 Mb
Release : 2011
Category : Computers
ISBN : 9781608051724

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Recent Advances in Robust Speech Recognition Technology by Javier Ramirez Pdf

"This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refers to the need to maintain high speech recognition accuracy even when the quality of the input speech is degraded, or whe"

Statistical Language and Speech Processing

Carlos Martín-Vide,Matthew Purver,Senja Pollak
Statistical Language and Speech Processing Book PDF

Author : Carlos Martín-Vide,Matthew Purver,Senja Pollak
Publisher : Springer Nature
Page : 326 pages
File Size : 51,6 Mb
Release : 2019-09-27
Category : Computers
ISBN : 9783030313722

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Statistical Language and Speech Processing by Carlos Martín-Vide,Matthew Purver,Senja Pollak Pdf

This book constitutes the proceedings of the 7th International Conference on Statistical Language and Speech Processing, SLSP 2019, held in Ljubljana, Slovenia, in October 2019. The 25 full papers presented together with one invited paper in this volume were carefully reviewed and selected from 48 submissions. They were organized in topical sections named: Dialogue and Spoken Language Understanding; Language Analysis and Generation; Speech Analysis and Synthesis; Speech Recognition; Text Analysis and Classification.

Robust Speech Recognition of Uncertain or Missing Data

Dorothea Kolossa,Reinhold Haeb-Umbach
Robust Speech Recognition of Uncertain or Missing Data Book PDF

Author : Dorothea Kolossa,Reinhold Haeb-Umbach
Publisher : Springer
Page : 380 pages
File Size : 45,8 Mb
Release : 2013-01-02
Category : Technology & Engineering
ISBN : 3642213189

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Robust Speech Recognition of Uncertain or Missing Data by Dorothea Kolossa,Reinhold Haeb-Umbach Pdf

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.

The Concise Encyclopedia of Applied Linguistics

Carol A. Chapelle
The Concise Encyclopedia of Applied Linguistics Book PDF

Author : Carol A. Chapelle
Publisher : John Wiley & Sons
Page : 1654 pages
File Size : 55,9 Mb
Release : 2020-01-09
Category : Language Arts & Disciplines
ISBN : 9781119147374

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The Concise Encyclopedia of Applied Linguistics by Carol A. Chapelle Pdf

Offers a wide-ranging overview of the issues and research approaches in the diverse field of applied linguistics Applied linguistics is an interdisciplinary field that identifies, examines, and seeks solutions to real-life language-related issues. Such issues often occur in situations of language contact and technological innovation, where language problems can range from explaining misunderstandings in face-to-face oral conversation to designing automated speech recognition systems for business. The Concise Encyclopedia of Applied Linguistics includes entries on the fundamentals of the discipline, introducing readers to the concepts, research, and methods used by applied linguists working in the field. This succinct, reader-friendly volume offers a collection of entries on a range of language problems and the analytic approaches used to address them. This abridged reference work has been compiled from the most-accessed entries from The Encyclopedia of Applied Linguistics (www.encyclopediaofappliedlinguistics.com), the more extensive volume which is available in print and digital format in 1000 libraries spanning 50 countries worldwide. Alphabetically-organized and updated entries help readers gain an understanding of the essentials of the field with entries on topics such as multilingualism, language policy and planning, language assessment and testing, translation and interpreting, and many others. Accessible for readers who are new to applied linguistics, The Concise Encyclopedia of Applied Linguistics: Includes entries written by experts in a broad range of areas within applied linguistics Explains the theory and research approaches used in the field for analysis of language, language use, and contexts of language use Demonstrates the connections among theory, research, and practice in the study of language issues Provides a perfect starting point for pursuing essential topics in applied linguistics Designed to offer readers an introduction to the range of topics and approaches within the field, The Concise Encyclopedia of Applied Linguistics is ideal for new students of applied linguistics and for researchers in the field.

Advanced Informatics for Computing Research

Ashish Kumar Luhach,Dharm Singh Jat,Kamarul Hawari Bin Ghazali,Xiao-Zhi Gao,Pawan Lingras
Advanced Informatics for Computing Research Book PDF

Author : Ashish Kumar Luhach,Dharm Singh Jat,Kamarul Hawari Bin Ghazali,Xiao-Zhi Gao,Pawan Lingras
Publisher : Springer Nature
Page : 698 pages
File Size : 54,6 Mb
Release : 2021-06-19
Category : Computers
ISBN : 9789811636608

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Advanced Informatics for Computing Research by Ashish Kumar Luhach,Dharm Singh Jat,Kamarul Hawari Bin Ghazali,Xiao-Zhi Gao,Pawan Lingras Pdf

This two-volume set (CCIS 1393 and CCIS 1394) constitutes selected and revised papers of the 4th International Conference on Advanced Informatics for Computing Research, ICAICR 2020, held in Gurugram, India, in December 2020. The 34 revised full papers and 51 short papers presented were carefully reviewed and selected from 306 submissions. The papers are organized in topical sections on computing methodologies; hardware; networks; security and privacy.

Applications and Usability of Interactive TV

María José Abásolo,Telmo Silva,Nestor D. González
Applications and Usability of Interactive TV Book PDF

Author : María José Abásolo,Telmo Silva,Nestor D. González
Publisher : Springer
Page : 189 pages
File Size : 54,5 Mb
Release : 2019-07-04
Category : Computers
ISBN : 9783030238629

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Applications and Usability of Interactive TV by María José Abásolo,Telmo Silva,Nestor D. González Pdf

This book constitutes the refereed proceedings of the 7th Iberoamerican Conference on Applications and Usability of Interactive Television, jAUTI 2018, in Bernal, Argentina, in October 2018. The 13 full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Contexts of application of the IDTV; Design and Implementation Techniques of IDTV Content and Services; Interaction Techniques, Technologies and Accesibility of IDTV Services; Testing and User Experience of IDTV Services.

Applied Computer Sciences in Engineering

Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,Elvis Eduardo Gaona-García,Alvaro David Orjuela-Cañón
Applied Computer Sciences in Engineering Book PDF

Author : Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,Elvis Eduardo Gaona-García,Alvaro David Orjuela-Cañón
Publisher : Springer Nature
Page : 534 pages
File Size : 49,9 Mb
Release : 2021-09-29
Category : Computers
ISBN : 9783030867027

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Applied Computer Sciences in Engineering by Juan Carlos Figueroa-García,Yesid Díaz-Gutierrez,Elvis Eduardo Gaona-García,Alvaro David Orjuela-Cañón Pdf

This volume constitutes the refereed proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medellín, Colombia, in October 2021. Due to the COVID-19 pandemic the conference was held in a hybrid mode. The 33 revised full papers and 11 short papers presented in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: computational intelligence; bioengineering; Internet of Things (IoT); optimization and operations research; engineering applications.