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Nonlinear Analyses and Algorithms for Speech Processing

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Cover of 'Nonlinear Analyses and Algorithms for Speech Processing'

Table of Contents

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    Book Overview
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    Chapter 1 The COST-277 European Action: An Overview
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    Chapter 2 Neuro-fuzzy Logic in Signal Processing for Communications: From Bits to Protocols
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    Chapter 3 Connected Operators for Signal and Image Processing
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    Chapter 4 Exploiting High-Level Information Provided by ALISP in Speaker Recognition
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    Chapter 5 MLP Internal Representation as Discriminative Features for Improved Speaker Recognition
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    Chapter 6 Weighting Scores to Improve Speaker-Dependent Threshold Estimation in Text-Dependent Speaker Verification
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    Chapter 7 Parameter Optimization in a Text-Dependent Cryptographic-Speech-Key Generation Task
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    Chapter 8 The COST-277 Speech Database
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    Chapter 9 Children’s Organization of Discourse Structure Through Pausing Means
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    Chapter 10 F0 and Intensity Distributions of Marsec Speakers: Types of Speaker Prosody
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    Chapter 11 A Two-Level Drive – Response Model of Non-stationary Speech Signals
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    Chapter 12 Advanced Methods for Glottal Wave Extraction
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    Chapter 13 Cepstrum-Based Estimation of the Harmonics-to-Noise Ratio for Synthesized and Human Voice Signals
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    Chapter 14 Pseudo Cepstral Analysis of Czech Vowels
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    Chapter 15 Bispectrum Estimators for Voice Activity Detection and Speech Recognition
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    Chapter 16 On the Acoustic-to-Electropalatographic Mapping
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    Chapter 17 Issues in Clinical Applications of Bilateral Multi-step Predictive Analysis of Speech
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    Chapter 18 Optimal Size of Time Window in Nonlinear Features for Voice Quality Measurement
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    Chapter 19 Support Vector Machines Applied to the Detection of Voice Disorders
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    Chapter 20 Synthesis of Disordered Voices
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    Chapter 21 Voice Pathology Detection by Vocal Cord Biomechanical Parameter Estimation
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    Chapter 22 A Speech Recognizer Based on Multiclass SVMs with HMM-Guided Segmentation
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    Chapter 23 Segment Boundaries in Low Latency Phonetic Recognition
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    Chapter 24 Third-Order Moments of Filtered Speech Signals for Robust Speech Recognition
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    Chapter 25 Nonlinear Analyses and Algorithms for Speech Processing
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    Chapter 26 Noise Robust Automatic Speech Recognition with Adaptive Quantile Based Noise Estimation and Speech Band Emphasizing Filter Bank
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    Chapter 27 Spotting Multilingual Consonant-Vowel Units of Speech Using Neural Network Models
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    Chapter 28 Novel Sub-band Adaptive Systems Incorporating Wiener Filtering for Binaural Speech Enhancement
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    Chapter 29 Maximum a Posterior Probability and Cumulative Distribution Function Equalization Methods for Speech Spectral Estimation with Application in Noise Suppression Filtering
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    Chapter 30 Modeling Fluctuations of Voiced Excitation for Speech Generation Based on Recursive Volterra Systems
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    Chapter 31 A Simple, Quasi-linear, Discrete Model of Vocal Fold Dynamics
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    Chapter 32 Blind Channel Deconvolution of Real World Signals Using Source Separation Techniques
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    Chapter 33 Method for Real-Time Signal Processing Via Wavelet Transform
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Title
Nonlinear Analyses and Algorithms for Speech Processing
Published by
Springer Berlin Heidelberg, February 2006
DOI 10.1007/11613107
ISBNs
978-3-54-031257-4, 978-3-54-032586-4
Editors

Faundez-Zanuy, Marcos, Janer, Léonard, Esposito, Anna, Satue-Villar, Antonio, Roure, Josep, Espinosa-Duro, Virginia

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Student > Bachelor 1 13%
Unknown 5 63%
Readers by discipline Count As %
Business, Management and Accounting 1 13%
Computer Science 1 13%
Engineering 1 13%
Unknown 5 63%

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