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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
Overall attention for this book and its chapters
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Mentioned by

4 tweeters
1 Facebook page


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24 Mendeley
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Recent Advances in Nonlinear Speech Processing
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-28109-4
978-3-31-928107-0, 978-3-31-928109-4

Anna Esposito, Marcos Faundez-Zanuy, Antonietta M. Esposito, Gennaro Cordasco, Thomas Drugman, Jordi Solé-Casals, Francesco Carlo Morabito

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Taiwan 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Student > Master 5 21%
Student > Bachelor 1 4%
Professor 1 4%
Student > Doctoral Student 1 4%
Other 3 13%
Unknown 6 25%
Readers by discipline Count As %
Computer Science 7 29%
Neuroscience 3 13%
Linguistics 2 8%
Engineering 2 8%
Psychology 1 4%
Other 4 17%
Unknown 5 21%