Digital Processing of Speech Signals

Digital Processing of Speech Signals
Title Digital Processing of Speech Signals PDF eBook
Author Lawrence R. Rabiner
Publisher Pearson Education India
Pages 532
Release 1978
Genre Digital electronics
ISBN 9788131705131

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Digital Processing of Speech Signals

Digital Processing of Speech Signals
Title Digital Processing of Speech Signals PDF eBook
Author Lawrence R. Rabiner
Publisher Prentice Hall
Pages 536
Release 1978
Genre Computers
ISBN

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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.

Introduction to Digital Speech Processing

Introduction to Digital Speech Processing
Title Introduction to Digital Speech Processing PDF eBook
Author Lawrence R. Rabiner
Publisher Now Publishers Inc
Pages 212
Release 2007
Genre Computers
ISBN 1601980701

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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.

Discrete-Time Processing of Speech Signals

Discrete-Time Processing of Speech Signals
Title Discrete-Time Processing of Speech Signals PDF eBook
Author John R. Deller
Publisher Wiley-IEEE Press
Pages 944
Release 2000
Genre Computers
ISBN

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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.

Intelligent Speech Signal Processing

Intelligent Speech Signal Processing
Title Intelligent Speech Signal Processing PDF eBook
Author Nilanjan Dey
Publisher Academic Press
Pages 210
Release 2019-04-02
Genre Technology & Engineering
ISBN 0128181303

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Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.

Digital Speech Processing Using Matlab

Digital Speech Processing Using Matlab
Title Digital Speech Processing Using Matlab PDF eBook
Author E. S. Gopi
Publisher Springer Science & Business Media
Pages 188
Release 2013-12-03
Genre Technology & Engineering
ISBN 8132216776

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Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that is suitable for beginners pursuing basic research in digital speech processing. Matlab illustrations are provided for most topics to enable better understanding of concepts. This book also deals with the basic pattern recognition techniques (illustrated with speech signals using Matlab) such as PCA, LDA, ICA, SVM, HMM, GMM, BPN, and KSOM.

Speech and Audio Signal Processing

Speech and Audio Signal Processing
Title Speech and Audio Signal Processing PDF eBook
Author Ben Gold
Publisher John Wiley & Sons
Pages 684
Release 2011-08-23
Genre Technology & Engineering
ISBN 0470195363

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When Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible, intutiont-based style. This book was aimed at individual students and engineers excited about the broad span of audio processing and curious to understand the available techniques. Since then, with the advent of the iPod in 2001, the field of digital audio and music has exploded, leading to a much greater interest in the technical aspects of audio processing. This Second Edition will update and revise the original book to augment it with new material describing both the enabling technologies of digital music distribution (most significantly the MP3) and a range of exciting new research areas in automatic music content processing (such as automatic transcription, music similarity, etc.) that have emerged in the past five years, driven by the digital music revolution. New chapter topics include: Psychoacoustic Audio Coding, describing MP3 and related audio coding schemes based on psychoacoustic masking of quantization noise Music Transcription, including automatically deriving notes, beats, and chords from music signals. Music Information Retrieval, primarily focusing on audio-based genre classification, artist/style identification, and similarity estimation. Audio Source Separation, including multi-microphone beamforming, blind source separation, and the perception-inspired techniques usually referred to as Computational Auditory Scene Analysis (CASA).