A coupled HMM for solving the permutation problem in frequency domain BSS
Permutation of the outputs at different frequency bins remains as a major problem in the convolutive blind source separation (BSS). In this work a coupled Hidden Markov model (CHMM) effectively exploits the psychoacoustic characteristics of signals to mitigate such permutation. A joint diagonalizati...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2004
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/5907 |
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