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Recent Advances in Nonlinear Speech Processing

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Cover of 'Recent Advances in Nonlinear Speech Processing'

Table of Contents

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    Book Overview
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    Chapter 1 A Decade of Encouraging Speech Processing “Outside of the Box”—A Foreword
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    Chapter 2 Recent Advances in Nonlinear Speech Processing: Directions and Challenges
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    Chapter 3 The Relationship Between the (Mis)-Parsing of Coarticulation in Perception and Sound Change: Evidence from Dissimilation and Language Acquisition
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    Chapter 4 Nonlinear Timing and Language Processing in Norm and Pathology
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    Chapter 5 Temporal Information Processing and Language Skills in Children with Specific Language Impairment
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    Chapter 6 Kinematic Modelling of Dipthong Articulation
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    Chapter 7 Multi-class Versus One-Class Classifier in Spontaneous Speech Analysis Oriented to Alzheimer Disease Diagnosis
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    Chapter 8 On the Significance of Speech Pauses in Depressive Disorders: Results on Read and Spontaneous Narratives
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    Chapter 9 Perceptual Features as Markers of Parkinson’s Disease: The Issue of Clinical Interpretability
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    Chapter 10 Phonation Biomechanics in Quantifying Parkinson’s Disease Symptom Severity
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    Chapter 11 Language Independent Detection Possibilities of Depression by Speech
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    Chapter 12 Constructing a Deep Neural Network Based Spectral Model for Statistical Speech Synthesis
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    Chapter 13 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 14 Comparison of Text-Independent Original Speaker Recognition from Emotionally Converted Speech
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    Chapter 15 An Analysis of Shallow and Deep Representations of Speech Based on Unsupervised Classification of Isolated Words
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    Chapter 16 ELM Based Algorithms for Acoustic Template Matching in Home Automation Scenarios: Advancements and Performance Analysis
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    Chapter 17 Linear Versus Nonlinear Multi-scale Decomposition for Co-channel Speaker Identification System
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    Chapter 18 Wigner-Ville Representation of a Stationary Voiced Speech Model
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    Chapter 19 Glottal Closure Instant Detection by the Multi-scale Product of the Derivative Glottal Waveform Signal
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    Chapter 20 Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech
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    Chapter 21 Assessing a Set of Glottal Features from Vocal Fold Biomechanics
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    Chapter 22 Pitch Estimation Based on the Cepstrum Analysis by the Multi Scale Product of Clean and Noisy Speech
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    Chapter 23 Recent Advances in Nonlinear Speech Processing
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    Chapter 24 A Nonlinear Acoustic Echo Canceller with Improved Tracking Capabilities
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    Chapter 25 When the Game Gets Difficult, then it is Time for Mimicry
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    Chapter 26 Recent Advances in Nonlinear Speech Processing
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    Chapter 27 Unit Selection Using Acoustic Supra-Segmental Cues to Improve Prosody
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    Chapter 28 A User-Centric Design of Service Robots Speech Interface for the Elderly
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    Chapter 29 New Method for Finding Optimum Number of Characteristics to Classify Speakers by Age
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