Filtering of a Dissonant Frequency Based on Improved Fundamental Frequency Estimation for Speech Enhancement

Bumki JEON
Sangki KANG
Seong-Joon BAEK
Koeng-Mo SUNG

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E86-A    No.8    pp.2063-2064
Publication Date: 2003/08/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Digital Signal Processing)
Category: 
Keyword: 
dissonant frequency,  fundamental frequency estimation,  parametric cubic convolution,  

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Summary: 
There have been numerous studies on the enhancement of the noisy speech signal. In this paper, we propose a completely new speech enhancement method, that is, a filtering of a dissonant frequency based on improved fundamental frequency estimation which is developed in frequency domain. The subjective test results indicate that the proposed method provides a significant gain in audible improvement especially for speech contaminated by colored noise and a husky voice. Therefore if the filter is employed as a pre-filter for speech enhancement, the output speech quality and intelligibility should be greatly enhanced.