FireRedTeam/FireRedASR
Open-source industrial-grade ASR models supporting Mandarin, Chinese dialects and English, achieving a new SOTA on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability.
Built on two complementary architectures—an Encoder-Adapter-LLM framework for peak performance and an Attention-based Encoder-Decoder for efficiency—FireRedASR enables end-to-end speech interaction while serving as a representation module in LLM-based systems. The framework integrates with Qwen2 for LLM variants and supports batch beam search decoding with configurable parameters (beam size, length penalties, temperature). Models are distributed via Hugging Face with Python and CLI interfaces, supporting audio up to 60s (AED) or 30s (LLM) at 16kHz.
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Language
Python
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Apache-2.0
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Last pushed
Feb 25, 2026
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