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arXiv · 2010.09191

Multi-channel target speech extraction with channel decorrelation and target speaker adaptation

Jiangyu Han·Xinyuan Zhou·Yanhua Long·Yijie Li
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Abstract

The end-to-end approaches for single-channel target speech extraction have attracted widespread attention. However, the studies for end-to-end multi-channel target speech extraction are still relatively limited. In this work, we propose two methods for exploiting the multi-channel spatial information to extract the target speech. The first one is using a target speech adaptation layer in a parallel encoder architecture. The second one is designing a channel decorrelation mechanism to extract the inter-channel differential information to enhance the multi-channel encoder representation. We compare the proposed methods with two strong state-of-the-art baselines. Experimental results on the multi-channel reverberant WSJ0 2-mix dataset demonstrate that our proposed methods achieve up to 11.2% and 11.5% relative improvements in SDR and SiSDR respectively, which are the best reported results on this task to the best of our knowledge.

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BibTeXRIS

Jiangyu Han, Xinyuan Zhou, Yanhua Long, Yijie Li. 2020-10-19. Multi-channel target speech extraction with channel decorrelation and target speaker adaptation. https://arxiv.org/abs/2010.09191

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