Title :
Selective magnitude subtraction for speech enhancement
Author :
Soon, Ing Yann ; Koh, Soo Nge ; Yeo, Chai Kiat
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
A novel method of spectral subtraction is proposed. Through selective application of common spectral magnitude subtraction, distortion in the processed speech can be reduced significantly without compromising on the amount of residual noise. The decision for the selection can be obtained from the noisy speech itself.
Keywords :
filtering theory; interference suppression; spectral analysis; speech enhancement; common spectral magnitude subtraction; noisy speech; processed speech distortion; residual noise; selective application; selective magnitude subtraction; speech enhancement;
Conference_Titel :
High Performance Computing in the Asia-Pacific Region, 2000. Proceedings. The Fourth International Conference/Exhibition on
Conference_Location :
Beijing, China
Print_ISBN :
0-7695-0589-2
DOI :
10.1109/HPC.2000.843527
