My research interests encompass the extensive domain of speech and language intelligence, which includes speech foundation models, large language models (LLMs), text-to-speech synthesis (TTS), voice conversion (VC), singing synthesis, cross-modal representation learning, audio adversarial attacks & defense, among other related areas.
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Focusing
Songxiang Liu liusongxiang
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Focusing
Work on spoken language processing: General Audio synthesis, TTS, VC, SVS & SVC etc.
Highlights
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Pinned Loading
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StarGAN-Voice-Conversion
StarGAN-Voice-Conversion PublicThis is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks
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efficient_tts
efficient_tts PublicPytorch implementation of "Efficienttts: an efficient and high-quality text-to-speech architecture"
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BNE-Seq2SeqMoL-VC
BNE-Seq2SeqMoL-VC PublicDemo for "Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling"
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Large-Audio-Models
Large-Audio-Models PublicKeep track of big models in audio domain, including speech, singing, music etc.
2 contributions in the last year
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