14 citations · 47 across the 13 of their papers we have counts for
4 papers · 1 filter
OtoMechanic: Auditory Automobile Diagnostics via Query-by-Example
Max Morrison, Bryan Pardo
Early detection and repair of failing components in automobiles reduces the risk of vehicle failure in life-threatening situations. Many automobile components in need of repair pro…
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…