1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.AS2020★ 1 cited
Hierarchical Timbre-Painting and Articulation Generation
Michael Michelashvili, Lior Wolf
We present a fast and high-fidelity method for music generation, based on specified f0 and loudness, such that the synthesized audio mimics the timbre and articulation of a target…
cs.SD2019
Speech Denoising by Accumulating Per-Frequency Modeling Fluctuations
Michael Michelashvili, Lior Wolf
We present a method for audio denoising that combines processing done in both the time domain and the time-frequency domain. Given a noisy audio clip, the method trains a deep neur…
cs.SD2018
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures
Michael Michelashvili, Sagie Benaim, Lior Wolf
We study the problem of semi-supervised singing voice separation, in which the training data contains a set of samples of mixed music (singing and instrumental) and an unmatched se…