A single-channel speech separation model jointly estimates speaker count, detects speaker activity, and separates overlapping multi-utterance speech using RNN attractors and a triple-path transformer.
Datasets In our research scenario, multiple speakers coexist in a mixed signal, each contributing multiple utterances
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Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers
A single-channel speech separation model jointly estimates speaker count, detects speaker activity, and separates overlapping multi-utterance speech using RNN attractors and a triple-path transformer.