Atjaunināt sīkdatņu piekrišanu

Advances in Nonlinear Speech Processing: 6th International Conference, NOLISP 2013, Mons, Belgium, June 19-21, 2013, Proceedings 2013 ed. [Mīkstie vāki]

Edited by , Edited by
  • Formāts: Paperback / softback, 217 pages, height x width: 235x155 mm, weight: 454 g, 81 Illustrations, black and white; X, 217 p. 81 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 7911
  • Izdošanas datums: 07-Jun-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642388469
  • ISBN-13: 9783642388460
  • Mīkstie vāki
  • Cena: 43,35 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 51,00 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 217 pages, height x width: 235x155 mm, weight: 454 g, 81 Illustrations, black and white; X, 217 p. 81 illus., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 7911
  • Izdošanas datums: 07-Jun-2013
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642388469
  • ISBN-13: 9783642388460
This book constitutes the proceedings of the 6th International Conference on Nonlinear Speech Processing, NOLISP 2013, held in Mons, Belgium, in June 2013. The 27 refereed papers included in this volume were carefully reviewed and selected from 34 submissions. The paper are organized in topical sections on speech and audio analysis; speech synthesis; speech-based biomedical applications; automatic speech recognition; and speech enhancement.
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 Parkinsons 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 SpeechDetection
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.