Search Results for author:
Found 3 papers, 3 papers with code
Hierarchical Timbre-Painting and Articulation Generation
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 instrument.
Speech Denoising by Accumulating Per-Frequency Modeling Fluctuations
The method is completely unsupervised and only trains on the specific audio clip that is being denoised.
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures
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 set of instrumental music.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
