10 citations · 24 across the 6 of their papers we have counts for
3 papers · 1 filter
Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice
Reyhaneh Abbasi, Peter Balazs, Vincent Lostanlen +4
Bioacoustic recordings are often degraded by ambient noise, which complicates the analysis of weak or noise-overlapped vocalizations. Convolutional neural networks, particularly U-…
Fitting Auditory Filterbanks with Multiresolution Neural Networks
Vincent Lostanlen, Daniel Haider, Han Han +3
Waveform-based deep learning faces a dilemma between nonparametric and parametric approaches. On one hand, convolutional neural networks (convnets) may approximate any linear time-…
Audio Inpainting via -Minimization and Dictionary Learning
Shristi Rajbamshi, Georg Tauböck, Peter Balazs +1
Audio inpainting refers to signal processing techniques that aim at restoring missing or corrupted consecutive samples in audio signals. Prior works have shown that - minim…