4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.SD2022★ 4 cited
Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments
Ke Chen, Hao-Wen Dong, Yi Luo +4
Choral music separation refers to the task of extracting tracks of voice parts (e.g., soprano, alto, tenor, and bass) from mixed audio. The lack of datasets has impeded research on…
cs.SD2019
Expediting TTS Synthesis with Adversarial Vocoding
Paarth Neekhara, Chris Donahue, Miller Puckette +2
Recent approaches in text-to-speech (TTS) synthesis employ neural network strategies to vocode perceptually-informed spectrogram representations directly into listenable waveforms.…
cs.SD2018
Adversarial Audio Synthesis
Chris Donahue, Julian McAuley, Miller Puckette
Audio signals are sampled at high temporal resolutions, and learning to synthesize audio requires capturing structure across a range of timescales. Generative adversarial networks…