Techniques For Noise Robustness In Automatic Speech Recognition

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Techniques for Noise Robustness in Automatic Speech Recognition

Tuomas Virtanen,Rita Singh,Bhiksha Raj
Techniques for Noise Robustness in Automatic Speech Recognition Book PDF

Author : Tuomas Virtanen,Rita Singh,Bhiksha Raj
Publisher : John Wiley & Sons
Page : 514 pages
File Size : 45,6 Mb
Release : 2012-09-19
Category : Technology & Engineering
ISBN : 9781118392669

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Techniques for Noise Robustness in Automatic Speech Recognition by Tuomas Virtanen,Rita Singh,Bhiksha Raj Pdf

Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech. Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments. Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR. Includes contributions from top ASR researchers from leading research units in the field

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 : 41,7 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.

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 : 45,7 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.

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 : 47,9 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

Acoustical and Environmental Robustness in Automatic Speech Recognition

A. Acero
Acoustical and Environmental Robustness in Automatic Speech Recognition Book PDF

Author : A. Acero
Publisher : Springer Science & Business Media
Page : 197 pages
File Size : 55,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461531227

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Acoustical and Environmental Robustness in Automatic Speech Recognition by A. Acero Pdf

The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications. Although the issue of environmental robustness has received only a small fraction of the attention devoted to speaker independence, even speech recognition systems that are designed to be speaker independent frequently perform very poorly when they are tested using a different type of microphone or acoustical environment from the one with which they were trained. The use of microphones other than a "close talking" headset also tends to severely degrade speech recognition -performance. Even in relatively quiet office environments, speech is degraded by additive noise from fans, slamming doors, and other conversations, as well as by the effects of unknown linear filtering arising reverberation from surface reflections in a room, or spectral shaping by microphones or the vocal tracts of individual speakers. Speech-recognition systems designed for long-distance telephone lines, or applications deployed in more adverse acoustical environments such as motor vehicles, factory floors, oroutdoors demand far greaterdegrees ofenvironmental robustness. There are several different ways of building acoustical robustness into speech recognition systems. Arrays of microphones can be used to develop a directionally-sensitive system that resists intelference from competing talkers and other noise sources that are spatially separated from the source of the desired speech signal.

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 : 45,5 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 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 : 50,8 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.

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 : 46,9 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.

Techniques for Noise Robustness in Automatic Speech Recognition

Tuomas Virtanen,Rita Singh,Bhiksha Raj
Techniques for Noise Robustness in Automatic Speech Recognition Book PDF

Author : Tuomas Virtanen,Rita Singh,Bhiksha Raj
Publisher : John Wiley & Sons
Page : 514 pages
File Size : 52,8 Mb
Release : 2012-11-28
Category : Technology & Engineering
ISBN : 9781119970880

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Techniques for Noise Robustness in Automatic Speech Recognition by Tuomas Virtanen,Rita Singh,Bhiksha Raj Pdf

Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech. Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments. Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR. Includes contributions from top ASR researchers from leading research units in the field

Robustness in Language and Speech Technology

Jean-Claude Junqua,Gertjan van Noord
Robustness in Language and Speech Technology Book PDF

Author : Jean-Claude Junqua,Gertjan van Noord
Publisher : Springer Science & Business Media
Page : 277 pages
File Size : 43,7 Mb
Release : 2013-03-09
Category : Language Arts & Disciplines
ISBN : 9789401597197

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Robustness in Language and Speech Technology by Jean-Claude Junqua,Gertjan van Noord Pdf

In this book we address robustness issues at the speech recognition and natural language parsing levels, with a focus on feature extraction and noise robust recognition, adaptive systems, language modeling, parsing, and natural language understanding. This book attempts to give a clear overview of the main technologies used in language and speech processing, along with an extensive bibliography to enable topics of interest to be pursued further. It also brings together speech and language technologies often considered separately. Robustness in Language and Speech Technology 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.

Speech Recognition

France Mihelič,Janez Zibert
Speech Recognition Book PDF

Author : France Mihelič,Janez Zibert
Publisher : BoD – Books on Demand
Page : 580 pages
File Size : 52,7 Mb
Release : 2008-11-01
Category : Computers
ISBN : 9789537619299

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Speech Recognition by France Mihelič,Janez Zibert Pdf

Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.

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 : 49,5 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.

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 : 42,5 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.

Speech Processing and Soft Computing

Sid-Ahmed Selouani
Speech Processing and Soft Computing Book PDF

Author : Sid-Ahmed Selouani
Publisher : Springer Science & Business Media
Page : 111 pages
File Size : 47,5 Mb
Release : 2011-09-02
Category : Technology & Engineering
ISBN : 9781441996855

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Speech Processing and Soft Computing by Sid-Ahmed Selouani Pdf

Speech Processing and Soft Computing includes coverage of synergy between speech technology and bio-inspired soft computing methods. Through practical cases, the author explores, dissects and examines how soft computing may complement conventional techniques in speech enhancement and speech recognition in order to provide robust systems. The material is especially useful to graduate students and experienced researchers who are interested in expanding their horizons and investigating new research directions through review of the theoretical and practical settings of soft computing methods in very recent speech applications.

Automatic Speech and Speaker Recognition

Chin-Hui Lee,Frank K. Soong,Kuldip K. Paliwal
Automatic Speech and Speaker Recognition Book PDF

Author : Chin-Hui Lee,Frank K. Soong,Kuldip K. Paliwal
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 45,5 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461313670

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Automatic Speech and Speaker Recognition by Chin-Hui Lee,Frank K. Soong,Kuldip K. Paliwal Pdf

Research in the field of automatic speech and speaker recognition has made a number of significant advances in the last two decades, influenced by advances in signal processing, algorithms, architectures, and hardware. These advances include: the adoption of a statistical pattern recognition paradigm; the use of the hidden Markov modeling framework to characterize both the spectral and the temporal variations in the speech signal; the use of a large set of speech utterance examples from a large population of speakers to train the hidden Markov models of some fundamental speech units; the organization of speech and language knowledge sources into a structural finite state network; and the use of dynamic, programming based heuristic search methods to find the best word sequence in the lexical network corresponding to the spoken utterance. Automatic Speech and Speaker Recognition: Advanced Topics groups together in a single volume a number of important topics on speech and speaker recognition, topics which are of fundamental importance, but not yet covered in detail in existing textbooks. Although no explicit partition is given, the book is divided into five parts: Chapters 1-2 are devoted to technology overviews; Chapters 3-12 discuss acoustic modeling of fundamental speech units and lexical modeling of words and pronunciations; Chapters 13-15 address the issues related to flexibility and robustness; Chapter 16-18 concern the theoretical and practical issues of search; Chapters 19-20 give two examples of algorithm and implementational aspects for recognition system realization. Audience: A reference book for speech researchers and graduate students interested in pursuing potential research on the topic. May also be used as a text for advanced courses on the subject.