Fr. 176.00

SPEECH AND AUDIO SIGNAL PROCESSING - PROCESSING AND PERCEPTION OF SPEEC

English · Hardback

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Informationen zum Autor The late Ben Gold consulted at Massachusetts Institute of Technology and Lincoln Laboratory and taught at the University of California at Berkeley. He was the author of Digital Processing of Signals and the coauthor of Theory and Applications of Digital Signal Processing . Dr. Gold was an IEEE Fellow, member of the National Academy of Engineering, and recipient of several IEEE awards. Nelson Morgan is the Director of the International Computer Science Institute, an independent, not-for profit research laboratory affiliated with the University of California at Berkeley. Dr. Morgan is also Professor-in-Residence in the Electrical Engineering and Computer Sciences Department at UC Berkeley. Dr. Morgan is an IEEE Fellow. Dan Ellis is Associate Professor in the Electrical Engineering Department of Columbia University. Dr. Ellis's Laboratory for Recognition and Organization of Speech and Audio (LabROSA) investigates how to extract high-level information from audio, including speech recognition, music description, and environmental sound processing. Klappentext 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). Zusammenfassung 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. Inhaltsverzeichnis PREFACE TO THE 2011 EDITION xxi CHAPTER 1 INTRODUCTION 1 PART I HISTORICAL BACKGROUND CHAPTER 2 SYNTHETIC A UDIO: A BRIEF HISTORY 9 CHAPTER 3 SPEECH ANALYSIS AND SYNTHESIS OVERVIEW 21 CHAPTER 4 BRIEF HISTORY OF AUTOMATIC SPEECH RECOGNITION 40 CHAPTER 5 SPEECH-RECOGNITION OVERVIEW 59 PART II MATHEMATICAL BACKGROUND CHAPTER 6 DIGITAL SIGNAL PROCESSING 73 CHAPTER 7 DIGITAL FILTERSAND DISCRETE FOURIER TRANSFORM 87 CHAPTER 8 PATTERN CLASSIFICATION 105 CHAPTER 9 STATISTICAL PATTERN CLASSIFICATION 124 PART III ACOUSTICS CHAPTER 10 WAVE BASICS 141 CHAPTER 11 ACOUSTIC TUBE MODELING OF SPEECH PRODUCTION 152 CHAPTER 12 MUSICAL INSTRUMENT ACOUSTICS 158 CHAPTER 13 ROOM ACOUSTICS 179 PART IV AUDITORY PERCEPTION CHAPTER 14  EAR PHYSIOLOGY 193 CHAPTER 15 PSYCHOACOUSTICS 209 C...

List of contents

PREFACE TO THE 2011 EDITION xxi
 
CHAPTER 1 INTRODUCTION 1
 
PART I HISTORICAL BACKGROUND
 
CHAPTER 2 SYNTHETIC A UDIO: A BRIEF HISTORY 9
 
CHAPTER 3 SPEECH ANALYSIS AND SYNTHESIS OVERVIEW 21
 
CHAPTER 4 BRIEF HISTORY OF AUTOMATIC SPEECH RECOGNITION 40
 
CHAPTER 5 SPEECH-RECOGNITION OVERVIEW 59
 
PART II MATHEMATICAL BACKGROUND
 
CHAPTER 6 DIGITAL SIGNAL PROCESSING 73
 
CHAPTER 7 DIGITAL FILTERSAND DISCRETE FOURIER TRANSFORM 87
 
CHAPTER 8 PATTERN CLASSIFICATION 105
 
CHAPTER 9 STATISTICAL PATTERN CLASSIFICATION 124
 
PART III ACOUSTICS
 
CHAPTER 10 WAVE BASICS 141
 
CHAPTER 11 ACOUSTIC TUBE MODELING OF SPEECH PRODUCTION 152
 
CHAPTER 12 MUSICAL INSTRUMENT ACOUSTICS 158
 
CHAPTER 13 ROOM ACOUSTICS 179
 
PART IV AUDITORY PERCEPTION
 
CHAPTER 14 EAR PHYSIOLOGY 193
 
CHAPTER 15 PSYCHOACOUSTICS 209
 
CHAPTER 16 MODELS OF PITCH PERCEPTION 218
 
CHAPTER 17 SPEECH PERCEPTION 232
 
CHAPTER 18 HUMAN SPEECH RECOGNITION 250
 
PART V SPEECH FEATURES
 
CHAPTER 19 THE AUDITORY SYSTEM AS A FILTER BANK 263
 
CHAPTER 20 THE CEPSTRUM AS A SPECTRAL ANALYZER 277
 
CHAPTER 21 LINEAR PREDICTION 286
 
PART VI A UTOMATIC SPEECH RECOGNITION
 
CHAPTER 22 FEATURE EXTRACTION FOR ASR 301
 
CHAPTER 23 LINGUISTIC CATEGORIES FOR SPEECH RECOGNITION 319
 
CHAPTER 24 DETERMINISTIC SEQUENCE RECOGNITION FOR ASR 337
 
CHAPTER 25 STATISTICAL SEQUENCE RECOGNITION 350
 
CHAPTER 26 STATISTICAL MODEL TRAINING 364
 
CHAPTER 27 DISCRIMINANT ACOUSTIC PROBABILITY ESTIMATION 381
 
CHAPTER 28 ACOUSTIC MODEL TRAINING: FURTHER TOPICS 394
 
CHAPTER 29 SPEECH RECOGNITION AND UNDERSTANDING 416
 
PART VII SYNTHESIS AND CODING
 
CHAPTER 30 SPEECH SYNTHESIS 431
 
CHAPTER 31 PITCH DETECTION 455
 
CHAPTER 32 VOCODERS 473
 
CHAPTER 33 LOW-RATE VOCODERS 493
 
CHAPTER 34 MEDIUM-RATE AND HIGH-RATE VOCODERS 505
 
CHAPTER 35 PERCEPTUAL A UDIO CODING 531
 
PART VIII OTHER APPLICATIONS
 
CHAPTER 36 SOME ASPECTS OF COMPUTER MUSIC SYNTHESIS 553
 
CHAPTER 37 MUSIC SIGNAL ANALYSIS 567
 
CHAPTER 38 MUSIC RETRIEVAL 581
 
CHAPTER 39 SOURCE SEPARATION 59
 
CHAPTER 40 SPEECH TRANSFORMATIONS 617
 
CHAPTER 41 SPEAKER VERIFICATION 633
 
CHAPTER 42 SPEAKER DIARIZATION 644

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