Speech enhancement : a signal subspace perspective /

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Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for solving this problem are linear filtering, like the classical Wiener filter, and subspace methods. These approaches have traditionally been treated as different classes...

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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Benesty, Jacob
Format: Electronic eBook
Language:Inglés
Published: Oxford ; Waltham, MA : Academic Press, 2014.
Edition:1st ed.
Subjects:
Speech processing systems.
Signal processing.
Traitement automatique de la parole.
Traitement du signal.
Signal processing
Speech processing systems
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1. Introduction
  • chapter 2. General concept with the diagonalization of the speech correlation matrix
  • chapter 3. General concept with the joint diagonalization of the speech and noise correlation matrices
  • chapter 4. Single-channel speech enhancement in the time domain
  • chapter 5. Multichannel speech enhancement in the time domain
  • chapter 6. Multichannel speech enhancement in the frequency domain
  • chapter 7. A Bayesian approach to the speech subspace estimation
  • chapter 8. Evaluation of the time-domain speech enhancement filters.

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