Canonical Correlation Analysis in Speech Enhancement

• Main Authors: Benesty, Jacob (Author, http://id.loc.gov/vocabulary/relators/aut), Cohen, Israel (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Signal processing.; Image processing.; Speech processing systems.; Signal, Image and Speech Processing.

This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both s...

Table of Contents:

• Introduction
• Canonical Correlation Analysis
• Single-Channel Speech Enhancement in the Time Domain
• Single-Channel Speech Enhancement in the STFT Domain
• Multichannel Speech Enhancement in the Time Domain
• Multichannel Speech Enhancement in the Time Domain
• Adaptive Beamforming.