Before revision:  Moreover, the sequence-wide speaker representations provide a more robust separation of long, challenging sequences, compared to previous approaches. We show that Wavesplit outperforms the previous state-of-the-art on clean mixtures of 2 or 3 speakers ( WSJ0-2mix, WSJ0-3mix ), as well as in noisy (WHAM!) and reverberated (WHAMR!)conditions.
After revision:  Moreover, the sequence-wide speaker representations provide a more robust separation of long, challenging recordings compared to prior work. Wavesplit redefines the state-of-the-art on clean mixtures of 2 or 3 speakers ( WSJ0-2mix, WSJ0-3mix ), as well as in noisy (WHAM!) and reverberated (WHAMR!)conditions.