Advances in Nonlinear Speech Processing

Table of Contents

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   Book Overview
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   Chapter 1 Neurological Disease Detection and Monitoring from Voice Production
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   Chapter 2 Mathematical Foundations of Nonlinear, Non-Gaussian, and Time-Varying Digital Speech Signal Processing
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   Chapter 3 Enhancing Spontaneous Speech Recognition with BLSTM Features
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   Chapter 4 Convolutive Nonnegative Matrix Factorization with Markov Random Field Smoothing for Blind Unmixing of Multichannel Speech Recordings
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   Chapter 5 Reconstruction of Speech Signals from Their Unpredictable Points Manifold
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   Chapter 6 On Computational Working Memory for Speech Analysis
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   Chapter 7 Oscillating Statistical Moments for Speech Polarity Detection
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   Chapter 8 A Simple Approximation for Fast Nonlinear Deconvolution
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    Chapter 9 Cross-Lingual English Spanish Tonal Accent Labeling Using Decision Trees and Neural Networks
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    Chapter 10 Apnea Detection Based on Hidden Markov Model Kernel
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    Chapter 11 A Real-Time Speech Enhancement Framework for Multi-party Meetings
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    Chapter 12 Improving Spontaneous Children’s Emotion Recognition by Acoustic Feature Selection and Feature-Level Fusion of Acoustic and Linguistic Parameters
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    Chapter 13 Vocal Effort Modification through Harmonics Plus Noise Model Representation
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    Chapter 14 Artificial Neural Network in FPGA for Temperature Prediction
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    Chapter 15 The Effects of Windowing on the Calculation of MFCCs for Different Types of Speech Sounds
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    Chapter 16 Bio-inspired Phonologic Processing: From Vowel Representation Spaces to Categories
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    Chapter 17 Application of Nonlinear Dynamics Characterization to Emotional Speech
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    Chapter 18 Is Fundamental Frequency Meaningful for Severe Substitution Voices Such as Esophageal Speech?
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    Chapter 19 Effects of Intra-frame Noise Smoothing on Speech Enhancement Algorithms
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    Chapter 20 Compression of Mammography Image by SPIHT and Fractals
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    Chapter 21 Intonation Based Sentence Modality Classifier for Czech Using Artificial Neural Network
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    Chapter 22 Prosodic Parameters of Emotional Synthetic Speech in Czech: Perception Validation
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    Chapter 23 Perceptual Effects of the Degree of Articulation in HMM-Based Speech Synthesis
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    Chapter 24 Combining Mel Frequency Cepstral Coefficients and Fractal Dimensions for Automatic Speech Recognition
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    Chapter 25 KPCA vs. PCA Study for an Age Classification of Speakers
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    Chapter 26 Advances in Nonlinear Speech Processing
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    Chapter 27 Nonlinear Dynamics for Hypernasality Detection
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    Chapter 28 Introducing Non-linear Analysis into Sustained Speech Characterization to Improve Sleep Apnea Detection
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    Chapter 29 Morphological Processing of Spectrograms for Speech Enhancement
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    Chapter 30 A Simple Phenomenological Neuronal Model with Inhibitory and Excitatory Synapses
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    Chapter 31 A Study of Low-variance Multi-taper Features for Distributed Speech Recognition
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    Chapter 32 Comparative Evaluation of Feature Normalization Techniques for Speaker Verification
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    Chapter 33 Robust Pathological Voice Detection Based on Component Information from HMM
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    Chapter 34 Complexity Analysis Using Nonuniform Embedding Techniques for Voice Pathological Discrimination
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    Chapter 35 Chaos for Speech Coding and Production