Title :
Speech Intelligibility Enhancement using Tunable Equalization Filter
Author :
Shankar Chanda, P. ; Sungjin Park
Author_Institution :
LG Soft India, Bangalore, India
Abstract :
Speech reproduction systems such as mobile handsets are often used in environments with moderate or high level of ambient noise where the intelligibility of the spoken words is degraded heavily. We propose a low-complexity system to increase the intelligibility of far-end clean speech signal to a listener who is located in such environment. An implementation of the proposed system on ARM9 RISC processor in a mobile handset is also reported here. Speech intelligibility index (SII) obtained from the enhanced speech and the subjective test results indicate that the proposed system provides a significant gain in speech intelligibility in environments with moderate or heavy ambient noise with the introduction of minimal processing artifacts.
Keywords :
filtering theory; mobile handsets; reduced instruction set computing; speech enhancement; speech intelligibility; ARM9 RISC processor; ambient noise; mobile handset; speech intelligibility enhancement; speech intelligibility index; speech reproduction systems; tunable equalization filter; Acoustic noise; Cutoff frequency; Degradation; Filters; Mobile handsets; Noise level; Signal to noise ratio; Speech enhancement; Speech processing; Working environment noise; acoustic noise; speech intelligibility; speech processing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366987