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Springer Handbook of Speech Processing

Overview of attention for book
Cover of 'Springer Handbook of Speech Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Speech Processing
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    Chapter 2 Physiological Processes of Speech Production
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    Chapter 3 Nonlinear Cochlear Signal Processing and Masking in Speech Perception
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    Chapter 4 Perception of Speech and Sound
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    Chapter 5 Speech Quality Assessment
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    Chapter 6 Wiener and Adaptive Filters
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    Chapter 7 Linear Prediction
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    Chapter 8 The Kalman Filter
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    Chapter 9 Homomorphic Systems and Cepstrum Analysis of Speech
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    Chapter 10 Pitch and Voicing Determination of Speech with an Extension Toward Music Signals
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    Chapter 11 Formant Estimation and Tracking
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    Chapter 12 The STFT, Sinusoidal Models, and Speech Modification
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    Chapter 13 Adaptive Blind Multichannel Identification
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    Chapter 14 Principles of Speech Coding
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    Chapter 15 Voice over IP: Speech Transmission over Packet Networks
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    Chapter 16 Low-Bit-Rate Speech Coding
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    Chapter 17 Analysis-by-Synthesis Speech Coding
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    Chapter 18 Perceptual Audio Coding of Speech Signals
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    Chapter 19 Basic Principles of Speech Synthesis
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    Chapter 20 Rule-Based Speech Synthesis
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    Chapter 21 Corpus-Based Speech Synthesis
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    Chapter 22 Linguistic Processing for Speech Synthesis
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    Chapter 23 Prosodic Processing
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    Chapter 24 Voice Transformation
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    Chapter 25 Expressive/Affective Speech Synthesis
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    Chapter 26 Historical Perspective of the Field of ASR/NLU
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    Chapter 27 HMMs and Related Speech Recognition Technologies
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    Chapter 28 Speech Recognition with Weighted Finite-State Transducers
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    Chapter 29 A Machine Learning Framework for Spoken-Dialog Classification
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    Chapter 30 Towards Superhuman Speech Recognition
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    Chapter 31 Natural Language Understanding
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    Chapter 32 Transcription and Distillation of Spontaneous Speech
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    Chapter 33 Environmental Robustness
  35. Altmetric Badge
    Chapter 34 The Business of Speech Technologies
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    Chapter 35 Spoken Dialogue Systems
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    Chapter 36 Overview of Speaker Recognition
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    Chapter 37 Text-Dependent Speaker Recognition
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    Chapter 38 Text-Independent Speaker Recognition
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    Chapter 39 Principles of Spoken Language Recognition
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    Chapter 40 Spoken Language Characterization
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    Chapter 41 Automatic Language Recognition Via Spectral and Token Based Approaches
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    Chapter 42 Vector-Based Spoken Language Classification
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    Chapter 43 Fundamentals of Noise Reduction
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    Chapter 44 Spectral Enhancement Methods
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    Chapter 45 Adaptive Echo Cancelation for Voice Signals
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    Chapter 46 Dereverberation
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    Chapter 47 Adaptive Beamforming and Postfiltering
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    Chapter 48 Feedback Control in Hearing Aids
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    Chapter 49 Active Noise Control
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    Chapter 50 Microphone Arrays
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    Chapter 51 Time Delay Estimation and Source Localization
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    Chapter 52 Convolutive Blind Source Separation Methods
  54. Altmetric Badge
    Chapter 53 Sound Field Reproduction
Overall attention for this book and its chapters
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Title
Springer Handbook of Speech Processing
Published by
Springer Science & Business Media, November 2007
DOI 10.1007/978-3-540-49127-9
ISBNs
978-3-54-049125-5, 978-3-54-049127-9, 978-3-54-049128-6
Editors

Benesty, Jacob, Sondhi, M. M., Huang, Yiteng

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 40%
Student > Master 4 20%
Researcher 3 15%
Student > Doctoral Student 2 10%
Professor > Associate Professor 2 10%
Other 2 10%
Readers by discipline Count As %
Engineering 12 60%
Computer Science 4 20%
Chemical Engineering 1 5%
Decision Sciences 1 5%
Mathematics 1 5%
Other 2 10%