Ebook: Nonlinear Analyses and Algorithms for Speech Processing

Издательство Springer, 2013, -225 pp.6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013 Proceedings.
NOLISP, an ISCA tutorial and workshop on non-linear speech processing, is a biannual event whose aim is to present and discuss new ideas, techniques, and results related to alternative approaches in speech processing that may depart from the mainstream. In order to work at the front-end of the subject area, the following domains of interest have been defined for the NOLISP workshops: non-linear approximation and estimation, non-linear oscillators and predictors, higher-order statistics, independent component analysis, nearest neighbors, neural networks, decision trees, non-parametric models, dynamics for non-linear systems, fractal methods, chaos modeling, non-linear differential equations.Speech and Audio Analysis.
Evaluation of Automatic Glottal Source Analysis.
NMF-Based Spectral Analysis for Acoustic Event Classification Tasks.
Efficient GCI Detection for Efficient Sparse Linear Prediction.
Gender Detection in Running Speech from Glottal and Vocal Tract Correlates.
An Efficient Method for Fundamental Frequency Determination of Noisy Speech.
Glottal Source Model Selection for Stationary Singing-Voice by Low-Band Envelope Matching.
Contribution to the Multipitch Estimation by Multi-scale Product Analysis.
Speech Signals Parameterization Based on Auditory Filter Modeling.
Towards a Better Representation of the Envelope Modulation of Aspiration Noise.
Speech Synthesis.
Towards Physically Interpretable Parametric Voice Conversion Functions.
Reduced Search Space Frame Alignment Based on Kullback-Leibler Divergence for Voice Conversion.
Average Voice Modeling Based on Unbiased Decision Trees.
Non-linear Pitch Modification in Voice Conversion Using Artificial Neural Networks.
Speech-Based Biomedical Applications.
Analysis and Quantification of Acoustic Artefacts in Tracheoesophageal Speech.
Analysis of Speech from People with Parkinson’s Disease through Nonlinear Dynamics.
Synthesis by Rule of Disordered Voices.
Towards a Low-Complex Breathing Monitoring System Based on Acoustic Signals.
Automatic Detection of Laryngeal Pathologies in Running Speech Based on the HMM Transformation of the Nonlinear Dynamics.
Feature Extraction Approach Based on Fractal Dimension for Spontaneous Speech Modelling Oriented to Alzheimer Disease Diagnosis.
Automatic Speech Recognition.
Robust Hierarchical and Sparse Representation of Natural Sounds in High-Dimensional Space.
On the Importance of Pre-emphasis and Window Shape in Phase-Based Speech Recognition.
Smoothed Nonlinear Energy Operator-Based Amplitude Modulation Features for Robust Speech Recognition.
Fuzzy Phonetic Decoding Method in a Phoneme Recognition Problem.
Improved EMD Usable Speech Detection for Co-channel Speaker Identification.
Speech Enhancement.
Speech Enhancement: A Multivariate Empirical Mode Decomposition Approach.
Speech Denoising Based on Empirical Mode Decomposition and Improved Thresholding.
A Fast Semi-blind Reverberation Time Estimation Using Non-linear Least Squares Method.