- Beijing
- https://fangqingkai.github.io/
Highlights
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ictnlp/LLaMA-Omni
ictnlp/LLaMA-Omni PublicLLaMA-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.
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ictnlp/DASpeech
ictnlp/DASpeech PublicCode for NeurIPS 2023 paper "DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation".
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ictnlp/STEMM
ictnlp/STEMM PublicCode for ACL 2022 main conference paper "STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation".
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ictnlp/ComSpeech
ictnlp/ComSpeech PublicCode for ACL 2024 main conference paper "Can We Achieve High-quality Direct Speech-to-Speech Translation Without Parallel Speech Data?".
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ictnlp/CRESS
ictnlp/CRESS PublicCode for ACL 2023 main conference paper "Understanding and Bridging the Modality Gap for Speech Translation".
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ictnlp/BT4ST
ictnlp/BT4ST PublicCode for ACL 2023 main conference paper "Back Translation for Speech-to-text Translation Without Transcripts".
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