Title :
Subband-based blind signal separation for noisy speech recognition
Author :
Park, Hyung-Min ; Jung, Ho-Young ; Lee, Te-Won ; Lee, Soo-Young
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
fDate :
11/11/1999 12:00:00 AM
Abstract :
A method for directly extracting clean speech features from noisy speech is proposed. This process is based on independent component analysis (ICA) and a new feature analysis technique for reducing the computational complexity of the frequency domain ICA. For noisy speech signals recorded in real environments, this method yielded a considerable performance improvement
Keywords :
computational complexity; feature extraction; noise; spectral analysis; speech recognition; clean speech features extraction; computational complexity reduction; feature analysis technique; frequency domain ICA; independent component analysis; noisy speech recognition; subband-based blind signal separation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19991358
