Opens in a new tab

AES E-Library

← Back to search

Convention Paper

Convolutive Blind Source Separation of Speech Signals in the Low Frequency Bands

Authors: Jafari, Maria G.; Plumbley, Mark D.

AES Convention 123 · Paper 7312 · October 2007

Abstract

Sub-band methods are often used to address the problem of convolutive blind speech separation, as they offer the computational advantage of approximating convolutions by multiplications. The computational load, however, often remains quite high, because separation is performed on several sub-bands. In this paper, we exploit the well known fact that the high frequency content of speech signals typically conveys little information, since most of the speech power is found in frequencies up to 4kHz, and consider separation only in frequency bands below a certain threshold. We investigate the effect of changing the threshold, and find that separation performed only in the low frequencies can lead to the recovered signals being similar in quality to those extracted from all frequencies.

Details

Published in
AES Convention 123
AES Convention
123
Paper number
7312
Publication date
October 6, 2007
Session subject
Signal Processing
Affiliation
Queen Mary University of London (See document for exact affiliation information.)
Type
Convention Paper