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ICASSP
2011
IEEE

MPtracker: A new multi-pitch detection and separation algorithm for mixed speech signals

9 years 2 months ago
MPtracker: A new multi-pitch detection and separation algorithm for mixed speech signals
We present MPtracker, a new algorithm for tracking and separating the pitch frequencies of two speakers from their mixture. The pitch frequencies are detected by introducing a novel spectral distortion optimization which takes into account the sinusoidal modeling of the speech signal. The detected pitch frequencies are grouped, separated, and finally an interpolation method is applied to estimate missing pitch frequencies. We evaluated the performance of the proposed technique on 196 mixtures including 48 male-male, 48 female-female, and 96 male-female mixtures with target-to-interference ratios (TIR) ranging from 0 dB to +18 dB. The results show our simple but effective and fast technique significantly outperforms two widely-used approaches 1 .
Mohammad Hossein Radfar, Richard M. Dansereau, Wai
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Mohammad Hossein Radfar, Richard M. Dansereau, Wai-Yip Chan, W. Wong
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