Multi-party Speech Recovery Exploiting Structured Sparsity Models
| Type of publication: | Conference paper |
| Citation: | Asaei_INTERSPEECH_2011 |
| Booktitle: | Proceedings of Interspeech |
| Year: | 2011 |
| Abstract: | We study the sparsity of spectro-temporal representation of speech in reverberant acoustic conditions. This study motivates the use of structured sparsity models for efficient speech recovery. We formulate the underdetermined convolutive speech separation in spectro-temporal domain as the sparse signal recovery where we leverage model-based recovery algorithms. To tackle the ambiguity of the real acoustics, we exploit the Image Model of the enclosures to estimate the room impulse response function through a structured sparsity constraint optimization. The experiments conducted on real data recordings demonstrate the effectiveness of the proposed approach for multi-party speech applications. |
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| Projects |
Idiap FP 7 |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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