Modern Methods Of Speech Processing

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Modern Methods of Speech Processing

Author : Ravi P. Ramachandran,Richard Mammone
Publisher : Springer Science & Business Media
Page : 471 pages
File Size : 54,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461522812

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Modern Methods of Speech Processing by Ravi P. Ramachandran,Richard Mammone Pdf

The term speech processing refers to the scientific discipline concerned with the analysis and processing of speech signals for getting the best benefit in various practical scenarios. These different practical scenarios correspond to a large variety of applications of speech processing research. Examples of some applications include enhancement, coding, synthesis, recognition and speaker recognition. A very rapid growth, particularly during the past ten years, has resulted due to the efforts of many leading scientists. The ideal aim is to develop algorithms for a certain task that maximize performance, are computationally feasible and are robust to a wide class of conditions. The purpose of this book is to provide a cohesive collection of articles that describe recent advances in various branches of speech processing. The main focus is in describing specific research directions through a detailed analysis and review of both the theoretical and practical settings. The intended audience includes graduate students who are embarking on speech research as well as the experienced researcher already working in the field. For graduate students taking a course, this book serves as a supplement to the course material. As the student focuses on a particular topic, the corresponding set of articles in this book will serve as an initiation through exposure to research issues and by providing an extensive reference list to commence a literature survey. Expe rienced researchers can utilize this book as a reference guide and can expand their horizons in this rather broad area.

Contemporary Methods for Speech Parameterization

Author : Todor Ganchev
Publisher : Springer Science & Business Media
Page : 114 pages
File Size : 42,5 Mb
Release : 2011-08-10
Category : Technology & Engineering
ISBN : 144198447X

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Contemporary Methods for Speech Parameterization by Todor Ganchev Pdf

Contemporary Methods for Speech Parameterization offers a general view of short-time cepstrum-based speech parameterization and provides a common ground for further in-depth studies on the subject. Specifically, it offers a comprehensive description, comparative analysis, and empirical performance evaluation of eleven contemporary speech parameterization methods, which compute short-time cepstrum-based speech features. Among these are five discrete wavelet packet transform (DWPT)-based, six discrete Fourier transform (DFT)-based speech features and some of their variants which have been used on the speech recognition, speaker recognition, and other related speech processing tasks. The main similarities and differences in their computation are discussed and empirical results from performance evaluation in common experimental conditions are presented. The recognition accuracy obtained on the monophone recognition, continuous speech recognition and speaker recognition tasks is contrasted against the one obtained for the well-known and widely used Mel Frequency Cepstral Coefficients (MFCC). It is shown that many of these methods lead to speech features that do offer competitive performance on a certain speech processing setup when compared to the venerable MFCC. The last does not target the promotion of certain speech features but instead aims to enhance the common understanding about the advantages and disadvantages of the various speech parameterization techniques available today and to provide the basis for selection of an appropriate speech parameterization in each particular case.

Speech Processing

Author : Chris Rowden
Publisher : McGraw-Hill Companies
Page : 440 pages
File Size : 48,6 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015025282339

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Speech Processing by Chris Rowden Pdf

The aim of this book is to give an appreciation of the nature of the speech signal and of modern methods for coding speech for transmission and storage. The use of speech as a man-machine interface is explored by describing the synthesis and automatic recognition of speech by computers.

Speech Processing in Modern Communication

Author : Israel Cohen,Jacob Benesty,Sharon Gannot
Publisher : Springer Science & Business Media
Page : 342 pages
File Size : 53,9 Mb
Release : 2009-12-18
Category : Technology & Engineering
ISBN : 9783642111303

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Speech Processing in Modern Communication by Israel Cohen,Jacob Benesty,Sharon Gannot Pdf

Modern communication devices, such as mobile phones, teleconferencing systems, VoIP, etc., are often used in noisy and reverberant environments. Therefore, signals picked up by the microphones from telecommunication devices contain not only the desired near-end speech signal, but also interferences such as the background noise, far-end echoes produced by the loudspeaker, and reverberations of the desired source. These interferences degrade the fidelity and intelligibility of the near-end speech in human-to-human telecommunications and decrease the performance of human-to-machine interfaces (i.e., automatic speech recognition systems). The proposed book deals with the fundamental challenges of speech processing in modern communication, including speech enhancement, interference suppression, acoustic echo cancellation, relative transfer function identification, source localization, dereverberation, and beamforming in reverberant environments. Enhancement of speech signals is necessary whenever the source signal is corrupted by noise. In highly non-stationary noise environments, noise transients, and interferences may be extremely annoying. Acoustic echo cancellation is used to eliminate the acoustic coupling between the loudspeaker and the microphone of a communication device. Identification of the relative transfer function between sensors in response to a desired speech signal enables to derive a reference noise signal for suppressing directional or coherent noise sources. Source localization, dereverberation, and beamforming in reverberant environments further enable to increase the intelligibility of the near-end speech signal.

Handbook of Neural Networks for Speech Processing

Author : Shigeru Katagiri
Publisher : Artech House Publishers
Page : 560 pages
File Size : 42,7 Mb
Release : 2000
Category : Computers
ISBN : UOM:39015049972048

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Handbook of Neural Networks for Speech Processing by Shigeru Katagiri Pdf

Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.

Introduction to Digital Speech Processing

Author : Lawrence R. Rabiner,Ronald W. Schafer
Publisher : Now Publishers Inc
Page : 212 pages
File Size : 43,6 Mb
Release : 2007
Category : Computers
ISBN : 9781601980700

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Introduction to Digital Speech Processing by Lawrence R. Rabiner,Ronald W. Schafer Pdf

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.

New Era for Robust Speech Recognition

Author : Shinji Watanabe,Marc Delcroix,Florian Metze,John R. Hershey
Publisher : Springer
Page : 436 pages
File Size : 48,9 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.

Intelligent Speech Signal Processing

Author : Nilanjan Dey
Publisher : Academic Press
Page : 210 pages
File Size : 52,5 Mb
Release : 2019-06-15
Category : Technology & Engineering
ISBN : 9780128181300

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Intelligent Speech Signal Processing by Nilanjan Dey Pdf

Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. It provides a forum for readers to discover the characteristics of intelligent speech signal processing systems across different domains. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multi-disciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, implementation, development, and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning, and data mining Illustrates different applications and challenges across the design, implementation, and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks

Audio Processing and Speech Recognition

Author : Soumya Sen,Anjan Dutta,Nilanjan Dey
Publisher : Springer
Page : 96 pages
File Size : 44,9 Mb
Release : 2019-01-30
Category : Technology & Engineering
ISBN : 9789811360985

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Audio Processing and Speech Recognition by Soumya Sen,Anjan Dutta,Nilanjan Dey Pdf

This book offers an overview of audio processing, including the latest advances in the methodologies used in audio processing and speech recognition. First, it discusses the importance of audio indexing and classical information retrieval problem and presents two major indexing techniques, namely Large Vocabulary Continuous Speech Recognition (LVCSR) and Phonetic Search. It then offers brief insights into the human speech production system and its modeling, which are required to produce artificial speech. It also discusses various components of an automatic speech recognition (ASR) system. Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification. By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.

Advances in Digital Speech Transmission

Author : Prof Rainer Martin,Prof Ulrich Heute,Prof Christiane Antweiler
Publisher : John Wiley & Sons
Page : 572 pages
File Size : 42,5 Mb
Release : 2008-02-28
Category : Technology & Engineering
ISBN : 0470727179

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Advances in Digital Speech Transmission by Prof Rainer Martin,Prof Ulrich Heute,Prof Christiane Antweiler Pdf

Speech processing and speech transmission technology are expanding fields of active research. New challenges arise from the 'anywhere, anytime' paradigm of mobile communications, the ubiquitous use of voice communication systems in noisy environments and the convergence of communication networks toward Internet based transmission protocols, such as Voice over IP. As a consequence, new speech coding, new enhancement and error concealment, and new quality assessment methods are emerging. Advances in Digital Speech Transmission provides an up-to-date overview of the field, including topics such as speech coding in heterogeneous communication networks, wideband coding, and the quality assessment of wideband speech. Provides an insight into the latest developments in speech processing and speech transmission, making it an essential reference to those working in these fields Offers a balanced overview of technology and applications Discusses topics such as speech coding in heterogeneous communications networks, wideband coding, and the quality assessment of the wideband speech Explains speech signal processing in hearing instruments and man-machine interfaces from applications point of view Covers speech coding for Voice over IP, blind source separation, digital hearing aids and speech processing for automatic speech recognition Advances in Digital Speech Transmission serves as an essential link between the basics and the type of technology and applications (prospective) engineers work on in industry labs and academia. The book will also be of interest to advanced students, researchers, and other professionals who need to brush up their knowledge in this field.

Discrete-Time Processing of Speech Signals

Author : John R. Deller,John H. L. Hansen,John G. Proakis
Publisher : Wiley-IEEE Press
Page : 944 pages
File Size : 53,7 Mb
Release : 2000
Category : Computers
ISBN : STANFORD:36105028585797

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Discrete-Time Processing of Speech Signals by John R. Deller,John H. L. Hansen,John G. Proakis Pdf

Commercial applications of speech processing and recognition are fast becoming a growth industry that will shape the next decade. Now students and practicing engineers of signal processing can find in a single volume the fundamentals essential to understanding this rapidly developing field. IEEE Press is pleased to publish a classic reissue of Discrete-Time Processing of Speech Signals. Specially featured in this reissue is the addition of valuable World Wide Web links to the latest speech data references. This landmark book offers a balanced discussion of both the mathematical theory of digital speech signal processing and critical contemporary applications. The authors provide a comprehensive view of all major modern speech processing areas: speech production physiology and modeling, signal analysis techniques, coding, enhancement, quality assessment, and recognition. You will learn the principles needed to understand advanced technologies in speech processing -- from speech coding for communications systems to biomedical applications of speech analysis and recognition. Ideal for self-study or as a course text, this far-reaching reference book offers an extensive historical context for concepts under discussion, end-of-chapter problems, and practical algorithms. Discrete-Time Processing of Speech Signals is the definitive resource for students, engineers, and scientists in the speech processing field. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

Speech Processing in Modern Communication

Author : Israel Cohen,Jacob Benesty,Sharon Gannot
Publisher : Springer
Page : 342 pages
File Size : 46,7 Mb
Release : 2010-02-04
Category : Technology & Engineering
ISBN : 3642111297

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Speech Processing in Modern Communication by Israel Cohen,Jacob Benesty,Sharon Gannot Pdf

Modern communication devices, such as mobile phones, teleconferencing systems, VoIP, etc., are often used in noisy and reverberant environments. Therefore, signals picked up by the microphones from telecommunication devices contain not only the desired near-end speech signal, but also interferences such as the background noise, far-end echoes produced by the loudspeaker, and reverberations of the desired source. These interferences degrade the fidelity and intelligibility of the near-end speech in human-to-human telecommunications and decrease the performance of human-to-machine interfaces (i.e., automatic speech recognition systems). The proposed book deals with the fundamental challenges of speech processing in modern communication, including speech enhancement, interference suppression, acoustic echo cancellation, relative transfer function identification, source localization, dereverberation, and beamforming in reverberant environments. Enhancement of speech signals is necessary whenever the source signal is corrupted by noise. In highly non-stationary noise environments, noise transients, and interferences may be extremely annoying. Acoustic echo cancellation is used to eliminate the acoustic coupling between the loudspeaker and the microphone of a communication device. Identification of the relative transfer function between sensors in response to a desired speech signal enables to derive a reference noise signal for suppressing directional or coherent noise sources. Source localization, dereverberation, and beamforming in reverberant environments further enable to increase the intelligibility of the near-end speech signal.

Spoken Language Processing

Author : Xuedong Huang,Alejandro Acero,Hsiao-Wuen Hon
Publisher : Prentice Hall
Page : 1018 pages
File Size : 40,7 Mb
Release : 2001
Category : Computers
ISBN : UOM:39015051284142

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Spoken Language Processing by Xuedong Huang,Alejandro Acero,Hsiao-Wuen Hon Pdf

Remarkable progress is being made in spoken language processing, but many powerful techniques have remained hidden in conference proceedings and academic papers, inaccessible to most practitioners. In this book, the leaders of the Speech Technology Group at Microsoft Research share these advances -- presenting not just the latest theory, but practical techniques for building commercially viable products.KEY TOPICS: Spoken Language Processing draws upon the latest advances and techniques from multiple fields: acoustics, phonology, phonetics, linguistics, semantics, pragmatics, computer science, electrical engineering, mathematics, syntax, psychology, and beyond. The book begins by presenting essential background on speech production and perception, probability and information theory, and pattern recognition. The authors demonstrate how to extract useful information from the speech signal; then present a variety of contemporary speech recognition techniques, including hidden Markov models, acoustic and language modeling, and techniques for improving resistance to environmental noise. Coverage includes decoders, search algorithms, large vocabulary speech recognition techniques, text-to-speech, spoken language dialog management, user interfaces, and interaction with non-speech interface modalities. The authors also present detailed case studies based on Microsoft's advanced prototypes, including the Whisper speech recognizer, Whistler text-to-speech system, and MiPad handheld computer.MARKET: For anyone involved with planning, designing, building, or purchasing spoken language technology.

Modern Speech Recognition

Author : S. Ramakrishnan
Publisher : BoD – Books on Demand
Page : 341 pages
File Size : 52,6 Mb
Release : 2012-11-28
Category : Computers
ISBN : 9789535108313

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Modern Speech Recognition by S. Ramakrishnan Pdf

This book focuses primarily on speech recognition and the related tasks such as speech enhancement and modeling. This book comprises 3 sections and thirteen chapters written by eminent researchers from USA, Brazil, Australia, Saudi Arabia, Japan, Ireland, Taiwan, Mexico, Slovakia and India. Section 1 on speech recognition consists of seven chapters. Sections 2 and 3 on speech enhancement and speech modeling have three chapters each respectively to supplement section 1. We sincerely believe that thorough reading of these thirteen chapters will provide comprehensive knowledge on modern speech recognition approaches to the readers.

Speech and Audio Processing for Coding, Enhancement and Recognition

Author : Tokunbo Ogunfunmi,Roberto Togneri,Madihally (Sim) Narasimha
Publisher : Springer
Page : 345 pages
File Size : 43,7 Mb
Release : 2014-10-14
Category : Technology & Engineering
ISBN : 9781493914562

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Speech and Audio Processing for Coding, Enhancement and Recognition by Tokunbo Ogunfunmi,Roberto Togneri,Madihally (Sim) Narasimha Pdf

This book describes the basic principles underlying the generation, coding, transmission and enhancement of speech and audio signals, including advanced statistical and machine learning techniques for speech and speaker recognition with an overview of the key innovations in these areas. Key research undertaken in speech coding, speech enhancement, speech recognition, emotion recognition and speaker diarization are also presented, along with recent advances and new paradigms in these areas.