Abstract
We present a novel single-channel separation approach to improve the separation performance while recovering the signals from a mixture. The key idea in this research is to employ a mixture estimator based on unconstrained modified sinusoidal parameters. Compared to the mixmax (binary mask) and Wiener filter (softmask) approaches, the proposed approach works independently of pitch estimates. Furthermore, it is observed that it can achieve acceptable perceptual speech quality with less cross-talk at different signal-tosignal ratios while bringing down the complexity by replacing STFT with sinusoidal parameters. Improvementsmade by the proposed approach are demonstrated by employing PESQ as our objective measureand MUSHRA listening test as our subjective evaluation.
Original language | English |
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Journal | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
Volume | 2010 |
Pages (from-to) | 21-24 |
ISSN | 1520-6149 |
DOIs | |
Publication status | Published - 14 Mar 2010 |
Event | 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing - Dallas, United States Duration: 14 Mar 2010 → 17 Mar 2010 |
Conference
Conference | 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Country/Territory | United States |
City | Dallas |
Period | 14/03/2010 → 17/03/2010 |
Keywords
- Mixture estimation
- single-channel speech separation
- mask-based methods
- speaker codebook