30 citations · 98 across the 28 of their papers we have counts for
4 papers · 1 filter
Bootstrapping deep music separation from primitive auditory grouping principles
Prem Seetharaman, Gordon Wichern, Jonathan Le Roux +1
Separating an audio scene such as a cocktail party into constituent, meaningful components is a core task in computer audition. Deep networks are the state-of-the-art approach. The…
Model selection for deep audio source separation via clustering analysis
Alisa Liu, Prem Seetharaman, Bryan Pardo
Audio source separation is the process of separating a mixture (e.g. a pop band recording) into isolated sounds from individual sources (e.g. just the lead vocals). Deep learning m…
Simultaneous Separation and Transcription of Mixtures with Multiple Polyphonic and Percussive Instruments
Ethan Manilow, Prem Seetharaman, Bryan Pardo
We present a single deep learning architecture that can both separate an audio recording of a musical mixture into constituent single-instrument recordings and transcribe these ins…
Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity
Ethan Manilow, Gordon Wichern, Prem Seetharaman +1
Music source separation performance has greatly improved in recent years with the advent of approaches based on deep learning. Such methods typically require large amounts of label…