Recent Advances in Nonlinear Speech Processing

ISBN: 978-3-319-28107-0 (Print) 978-3-319-28109-4 (Online)

Table of contents (29 chapters)

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  1. Front Matter

    Pages i-xiv

  2. Nonlinear Speech Processing: An Introduction

    1. Front Matter

      Pages 1-1

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      Chapter

      Pages 3-4

      A Decade of Encouraging Speech Processing “Outside of the Box”—A Foreword

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      Chapter

      Pages 5-11

      Recent Advances in Nonlinear Speech Processing: Directions and Challenges

  3. Features of Sound Change

    1. Front Matter

      Pages 13-13

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      Chapter

      Pages 15-34

      The Relationship Between the (Mis)-Parsing of Coarticulation in Perception and Sound Change: Evidence from Dissimilation and Language Acquisition

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      Chapter

      Pages 35-44

      Nonlinear Timing and Language Processing in Norm and Pathology

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      Chapter

      Pages 45-52

      Temporal Information Processing and Language Skills in Children with Specific Language Impairment

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      Chapter

      Pages 53-60

      Kinematic Modelling of Dipthong Articulation

  4. Identifying Psychological, and Neural Disorders from Speech

    1. Front Matter

      Pages 61-61

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      Chapter

      Pages 63-72

      Multi-class Versus One-Class Classifier in Spontaneous Speech Analysis Oriented to Alzheimer Disease Diagnosis

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      Chapter

      Pages 73-82

      On the Significance of Speech Pauses in Depressive Disorders: Results on Read and Spontaneous Narratives

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      Chapter

      Pages 83-91

      Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability

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      Chapter

      Pages 93-102

      Phonation Biomechanics in Quantifying Parkinson’s Disease Symptom Severity

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      Chapter

      Pages 103-114

      Language Independent Detection Possibilities of Depression by Speech

  5. Improving VUI

    1. Front Matter

      Pages 115-115

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      Chapter

      Pages 117-125

      Constructing a Deep Neural Network Based Spectral Model for Statistical Speech Synthesis

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      Chapter

      Pages 127-136

      The Influence of Adaptation Database Size on the Quality of HMM-based Synthetic Voice Based on the Large Average Voice Model

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      Chapter

      Pages 137-149

      Comparison of Text-Independent Original Speaker Recognition from Emotionally Converted Speech

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      Chapter

      Pages 151-157

      An Analysis of Shallow and Deep Representations of Speech Based on Unsupervised Classification of Isolated Words

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      Chapter

      Pages 159-168

      ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis

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      Chapter

      Pages 169-177

      Linear Versus Nonlinear Multi-scale Decomposition for Co-channel Speaker Identification System

  6. Identifying New Nonlinear Coding and Decoding Features

    1. Front Matter

      Pages 179-179

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      Chapter

      Pages 181-190

      Wigner-Ville Representation of a Stationary Voiced Speech Model

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      Chapter

      Pages 191-198

      Glottal Closure Instant Detection by the Multi-scale Product of the Derivative Glottal Waveform Signal

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      Chapter

      Pages 199-207

      Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech

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