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

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

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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.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.8 pp.2063-2064
Publication Date
2003/08/01
Publicized
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DOI
Type of Manuscript
Special Section LETTER (Special Section on Digital Signal Processing)
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