Abstract:<p>Current speaker extraction models have achieved good performance in extracting target speech from highly overlapped multi-talker speech. But in real-world applications, the multi-talker speech is sparsely overlapped and the target speaker may be absent from the speech mixture, making it difficult for the model to extract desired speech in this situation. The universal speaker extraction is proposed to solve the problem by evaluating the quality of estimated speech signals and silence. However, the des… Show more
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