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http://dx.doi.org/10.7776/ASK.2008.27.8.418

A Method of Sound Segmentation in Time-Frequency Domain Using Peaks and Valleys in Spectrogram for Speech Separation  

Lim, Sung-Kil (경희대학교 컴퓨터공학과)
Lee, Hyon-Soo (경희대학교 컴퓨터공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.27, no.8, 2008 , pp. 418-426 More about this Journal
Abstract
In this paper, we propose an algorithm for the frequency channel segmentation using peaks and valleys in spectrogram. The frequency channel segments means that local groups of channels in frequency domain that could be arisen from the same sound source. The proposed algorithm is based on the smoothed spectrum of the input sound. Peaks and valleys in the smoothed spectrum are used to determine centers and boundaries of segments, respectively. To evaluate a suitableness of the proposed segmentation algorithm before that the grouping stage is applied, we compare the synthesized results using ideal mask with that of proposed algorithm. Simulations are performed with mixed speech signals with narrow band noises, wide band noises and other speech signals.
Keywords
Frequency Channel Segmentation; Speech Separation; Sound Segmentation; Peak; Valley; Spectrogram;
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