104 citations · 305 across the 50 of their papers we have counts for
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Class-conditional embeddings for music source separation
Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani +1
Isolating individual instruments in a musical mixture has a myriad of potential applications, and seems imminently achievable given the levels of performance reached by recent deep…
Bootstrapping single-channel source separation via unsupervised spatial clustering on stereo mixtures
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux +1
Separating an audio scene into isolated sources is a fundamental problem in computer audition, analogous to image segmentation in visual scene analysis. Source separation systems b…
Phasebook and Friends: Leveraging Discrete Representations for Source Separation
Jonathan Le Roux, Gordon Wichern, Shinji Watanabe +2
Deep learning based speech enhancement and source separation systems have recently reached unprecedented levels of quality, to the point that performance is reaching a new ceiling.…