Before revision:  The model is trained on the raw waveform to jointly perform the two tasks . Our model infers a set of speaker representations through clustering, which addresses the fundamental permutation problem of speech separation.
After revision:  The model is trained on the raw waveform to jointly perform both tasks from the raw waveform. Wavesplit infers a set of speaker representations through clustering, which addresses the fundamental permutation problem of speech separation.