84 citations · 94 across the 10 of their papers we have counts for
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eess.AS2020★ 6 cited
Improved End-to-End Dysarthric Speech Recognition via Meta-learning Based Model Re-initialization
Disong Wang, Jianwei Yu, Xixin Wu +3
Dysarthric speech recognition is a challenging task as dysarthric data is limited and its acoustics deviate significantly from normal speech. Model-based speaker adaptation is a pr…
eess.AS2020
Learning Explicit Prosody Models and Deep Speaker Embeddings for Atypical Voice Conversion
Disong Wang, Songxiang Liu, Lifa Sun +3
Though significant progress has been made for the voice conversion (VC) of typical speech, VC for atypical speech, e.g., dysarthric and second-language (L2) speech, remains a chall…
eess.AS2020★ 84 cited
Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling
Songxiang Liu, Yuewen Cao, Disong Wang +3
This paper proposes an any-to-many location-relative, sequence-to-sequence (seq2seq), non-parallel voice conversion approach, which utilizes text supervision during training. In th…