Short-time Multichannel Noise Power Spectral Density Estimators for Acoustic Signals
The estimation of power spectral densities is a critical step in many speech enhancement algorithms. The demand for multi-channel speech enhancement systems is high with applications in teleconferencing, cellular phones, and hearing aids. The first objective of the thesis is to develop a general mul...
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| Language: | en |
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Université d'Ottawa / University of Ottawa
2014
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| Online Access: | http://hdl.handle.net/10393/30964 http://dx.doi.org/10.20381/ruor-3670 |
| Summary: | The estimation of power spectral densities is a critical step in many speech enhancement algorithms. The demand for multi-channel speech enhancement systems is high with applications in teleconferencing, cellular phones, and hearing aids. The first objective of the thesis is to develop a general multi-channel framework to solve for the diffuse noise power spectral densities whenever the spatial correlation or coherence matrix is pre-estimated and the number of speakers is less than the number of microphones. The second objective is to develop closed-form analytical solutions. The performance of the developed algorithms is evaluated with pre-existing algorithms using prescribed performance measures. |
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