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liusongxiang/README.md

Hi there 👋

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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  1. StarGAN-Voice-Conversion StarGAN-Voice-Conversion Public

    This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

    Python 517 93

  2. ppg-vc ppg-vc Public

    PPG-Based Voice Conversion

    Python 330 72

  3. efficient_tts efficient_tts Public

    Pytorch implementation of "Efficienttts: an efficient and high-quality text-to-speech architecture"

    Python 115 21

  4. BNE-Seq2SeqMoL-VC BNE-Seq2SeqMoL-VC Public

    Demo for "Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling"

    7 3

  5. diffsvc diffsvc Public

    DiffSVC demo page

    77 65

  6. Large-Audio-Models Large-Audio-Models Public

    Keep track of big models in audio domain, including speech, singing, music etc.

    463 28