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.
Besides, an ablation study was conducted Table 2:Evaluation on 2-speaker & 3-speaker dataset
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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.