Speech and Audio Processing for Coding, Enhancement and Recognition

This book describes the basic principles underlying the generation, coding, transmission and enhancement of speech and audio signals, including advanced statistical and machine learning techniques for speech and speaker recognition with an overview of the key innovations in these areas. Key research...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ogunfunmi, Tokunbo (Editor), Togneri, Roberto (Editor), Narasimha, Madihally (Sim) (Editor)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2015.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • From ‘Harmonic Telegraph’ to Cellular Phones
  • Challenges in Speech Coding Research
  • Recent Speech Coding Technologies and Standards
  • Ensemble Learning Approaches in Speech Recognition
  • Dynamic and Deep Networks For Speech Modeling and Recognition
  • Speech Based Emotion Recognition
  • Speaker Diarization: Challenges and Emerging Research
  • Maximum a posteriori spectral estimation with source log-spectral priors for multichannel speech enhancement
  • Modulation Processing for Speech Enhancement.