For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Integrated Dissonant Frequency Filtering and Noise Reduction for Improving Perceptual Quality of Noisy Speech and Husky Voice
Sangki KANG Seong-Joon BAEK
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2004/10/01
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Speech and Hearing
Dissonant Frequency Filtering (DFF), Noise Reduction (NR), fundamental frequency estimation,
Full Text: PDF>>
There have been numerous studies on the enhancement of the noisy speech signal. In this paper, We propose a new speech enhancement method, that is, a DFF (Dissonant Frequency Filtering) scheme combined with NR (noise reduction) algorithm. The simulation results indicate that the proposed method provides a significant gain in perceptual quality compared with the conventional method. Therefore if the proposed enhancement scheme is used as a pre-filter, the output speech quality would be enhanced perceptually.