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DEEP ATTRACTOR NETWORK FOR SINGLE-MICROPHONE SPEAKER SEPARATION
Despite the overwhelming success of deep learning in various speech processing tasks, the problem of separating simultaneous speakers in a mixture remains challenging. Two major difficulties in such systems are the arbitrary source permutation and unknown number of sources in the mixture. We propose...
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| Publié dans: | Proc IEEE Int Conf Acoust Speech Signal Process |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5805382/ https://ncbi.nlm.nih.gov/pubmed/29430212 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICASSP.2017.7952155 |
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