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20182023
most citedPARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels

5 citations · 14 across the 8 of their papers we have counts for

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eess.AS2021

Improving the expressiveness of neural vocoding with non-affine Normalizing Flows

Adam Gabryś, Yunlong Jiao, Viacheslav Klimkov +2

This paper proposes a general enhancement to the Normalizing Flows (NF) used in neural vocoding. As a case study, we improve expressive speech vocoding with a revamped Parallel Wav…

eess.AS2021★ 2 cited

Universal Neural Vocoding with Parallel WaveNet

Yunlong Jiao, Adam Gabrys, Georgi Tinchev +3

We present a universal neural vocoder based on Parallel WaveNet, with an additional conditioning network called Audio Encoder. Our universal vocoder offers real-time high-quality s…