Robust Digital Processing Of Speech Signals

Author : Branko Kovacevic
Publisher : Springer
ISBN 13 : 3319536133
Total Pages : 233 pages
Book Rating : 4.32/5 ( download)

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Download or read book Robust Digital Processing of Speech Signals written by Branko Kovacevic and published by Springer. This book was released on 2017-06-06 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on speech signal phenomena, presenting a robustification of the usual speech generation models with regard to the presumed types of excitation signals, which is equivalent to the introduction of a class of nonlinear models and the corresponding criterion functions for parameter estimation. Compared to the general class of nonlinear models, such as various neural networks, these models possess good properties of controlled complexity, the option of working in “online” mode, as well as a low information volume for efficient speech encoding and transmission. Providing comprehensive insights, the book is based on the authors’ research, which has already been published, supplemented by additional texts discussing general considerations of speech modeling, linear predictive analysis and robust parameter estimation.

Author : Lawrence R. Rabiner
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 536 pages
Book Rating : 4.27/5 ( download)

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Download or read book Digital Processing of Speech Signals written by Lawrence R. Rabiner and published by Prentice Hall. This book was released on 1978 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: The material in this book is intended as a one-semester course in speech processing. The purpose of this text is to show how digital signal processing techniques can be applied to problems related to speech communication. The book gives an extensive description of the physical basis for speech coding including fourier analysis, digital representation and digital and time domain models of the wave form. It goes on to discuss homomorphic speech processing, linear predictive coding and digital processing for machine communication by voice.

Author : Sadaoki Furui
Publisher : CRC Press
ISBN 13 : 1482270641
Total Pages : 476 pages
Book Rating : 4.48/5 ( download)

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Download or read book Digital Speech Processing written by Sadaoki Furui and published by CRC Press. This book was released on 2018-05-04 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of digital speech processing, synthesis and recognition. This second edition contains new sections on the international standardization of robust and flexible speech coding techniques, waveform unit concatenation-based speech synthesis, large vocabulary continuous-speech recognition based on statistical pattern recognition, and more.

Author : Sadaoki Furui
Publisher : CRC Press
ISBN 13 : 1351990926
Total Pages : 338 pages
Book Rating : 4.29/5 ( download)

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Download or read book Digital Speech Processing written by Sadaoki Furui and published by CRC Press. This book was released on 2018-05-04 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: A study of digital speech processing, synthesis and recognition. This second edition contains new sections on the international standardization of robust and flexible speech coding techniques, waveform unit concatenation-based speech synthesis, large vocabulary continuous-speech recognition based on statistical pattern recognition, and more.

Author : Antonio Peinado
Publisher : John Wiley & Sons
ISBN 13 : 0470024011
Total Pages : 274 pages
Book Rating : 4.10/5 ( download)

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Download or read book Speech Recognition Over Digital Channels written by Antonio Peinado and published by John Wiley & Sons. This book was released on 2006-08-04 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Peter Vary
Publisher : Wiley
ISBN 13 : 9780471560180
Total Pages : 644 pages
Book Rating : 4.89/5 ( download)

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Download or read book Digital Speech Transmission written by Peter Vary and published by Wiley. This book was released on 2006-03-03 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: The enormous advances in digital signal processing (DSP) technology have contributed to the wide dissemination and success of speech communication devices - be it GSM and UMTS mobile telephones, digital hearing aids, or human-machine interfaces. Digital speech transmission techniques play an important role in these applications, all the more because high quality speech transmission remains essential in all current and next generation communication networks. Enhancement, coding and error concealment techniques improve the transmitted speech signal at all stages of the transmission chain, from the acoustic front-end to the sound reproduction at the receiver. Advanced speech processing algorithms help to mitigate a number of physical and technological limitations such as background noise, bandwidth restrictions, shortage of radio frequencies, and transmission errors. Digital Speech Transmission provides a single-source, comprehensive guide to the fundamental issues, algorithms, standards, and trends in speech signal processing and speech communication technology. The authors give a solid, accessible overview of * fundamentals of speech signal processing * speech coding, including new speech coders for GSM and UMTS * error concealment by soft decoding * artificial bandwidth extension of speech signals * single and multi-channel noise reduction * acoustic echo cancellation This text is an invaluable resource for engineers, researchers, academics, and graduate students in the areas of communications, electrical engineering, and information technology.

Author : Jean-Claude Junqua
Publisher : Springer
ISBN 13 :
Total Pages : 480 pages
Book Rating : 4.89/5 ( download)

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Download or read book Robustness in Automatic Speech Recognition written by Jean-Claude Junqua and published by Springer. This book was released on 1996 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The domain of speech processing has come to the point where researchers and engineers are concerned with how speech technology can be applied to new products, and how this technology will transform our future. One important problem is to improve robustness of speech processing under adverse conditions, which is the subject of this book. Robust speech processing is a relatively new area which became a concern as technology started moving from laboratory to field applications. A method or an algorithm is robust if it can deal with a broad range of applications and adapt to unknown conditions. Robustness in Automatic Speech Recognition addresses all of the fundamental problems and issues in the area. The book is divided into three parts. The first provides the background necessary for understanding the rest of the material. It also emphasizes the problems of speech production and perception in noise along with popular techniques used in speech analysis and automatic speech recognition. Part Two discusses the problems relevant to robustness in automatic speech recognition and speech-based applications. It emphasizes intra- and inter-speaker variability as well as automatic speech recognition of Lombard, noisy and channel distorted speech. Finally, the third part covers recent advances in the field of robust automatic speech recognition. Audience: An invaluable reference. May be used as a text for advanced courses on the subject.

Author : Lawrence R. Rabiner
Publisher : Now Publishers Inc
ISBN 13 : 1601980701
Total Pages : 212 pages
Book Rating : 4.00/5 ( download)

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Download or read book Introduction to Digital Speech Processing written by Lawrence R. Rabiner and published by Now Publishers Inc. This book was released on 2007 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.

Author : Shinji Watanabe
Publisher : Springer
ISBN 13 : 331964680X
Total Pages : 436 pages
Book Rating : 4.00/5 ( download)

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Download or read book New Era for Robust Speech Recognition written by Shinji Watanabe and published by Springer. This book was released on 2017-10-30 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Dorothea Kolossa
Publisher : Springer
ISBN 13 : 9783642438684
Total Pages : 0 pages
Book Rating : 4.87/5 ( download)

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Download or read book Robust Speech Recognition of Uncertain or Missing Data written by Dorothea Kolossa and published by Springer. This book was released on 2014-11-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.