Title :
On amplitude modulation for monaural speech segregation
Author :
Hu, Guoning ; Wang, DeLiang
Author_Institution :
Biophys. Program, Ohio State Univ., Columbus, OH, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
We propose a computational auditory scene analysis (CASA) model for monaural speech segregation. It deals with low-frequency and high-frequency signals differently. For high-frequency signals, it generates segments based on the common amplitude modulation (AM) and groups them according to AM repetition rates. This model performs substantially better than previous CASA systems
Keywords :
amplitude modulation; speech processing; speech recognition; amplitude modulation; computational auditory scene analysis; high-frequency. signals; low-frequency signals; monaural speech segregation; speech recognition; Acoustic sensors; Amplitude modulation; Auditory system; Automatic speech recognition; Biophysics; Frequency; Psychoacoustic models; Signal resolution; Source separation; Speech enhancement;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005444
