1-2hit |
Bumki JEON Sangki KANG Seong-Joon BAEK Koeng-Mo SUNG
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.
Hee-Suk PANG SeongJoon BAEK Koeng-Mo SUNG
A simple but effective fundamental frequency estimation method is proposed using parametric cubic convolution. The performance of the method is shown to be good not only for the stationary signals but also for the signal whose fundamental frequency is changing with time. In the simulation, comparisons with other high-accuracy methods are also shown. Due to its accuracy and simplicity, the proposed method is practically useful.