Canonical Correlation Analysis in Speech Enhancement

• Κύριοι συγγραφείς: Benesty, Jacob (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Cohen, Israel (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: SpringerBriefs in Electrical and Computer Engineering,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.