8000 Poeroz (Qingkai Fang) · GitHub
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  1. ictnlp/LLaMA-Omni ictnlp/LLaMA-Omni Public

    LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

    Python 2.9k 197

  2. ictnlp/LLaMA-Omni2 ictnlp/LLaMA-Omni2 Public

    Python 162 19

  3. ictnlp/DASpeech ictnlp/DASpeech Public

    Code for NeurIPS 2023 paper "DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation".

    Python 61 5

  4. ictnlp/STEMM ictnlp/STEMM Public

    Code for ACL 2022 main conference paper "STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation".

    Python 36 7

  5. ictnlp/ComSpeech ictnlp/ComSpeech Public

    Code for ACL 2024 main conference paper "Can We Achieve High-quality Direct Speech-to-Speech Translation Without Parallel Speech Data?".

    Python 24 6

  6. ictnlp/CRESS ictnlp/CRESS Public

    Code for ACL 2023 main conference paper "Understanding and Bridging the Modality Gap for Speech Translation".

    Python 17 2

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