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An alignment-path distillation framework for streaming automatic speech recognition (ASR) with large language models (LLMs) that extracts monotonic alignment paths from a non-streaming teacher's soft text-audio attention and uses them to construct interleaved training sequences.
FireRedAudio achieves state-of-the-art performance in audio understanding and generation by leveraging decoupled continuous representations, setting a new standard for unified audio-language models.
A single system now rivals or beats specialized models across ASR, voice activity detection, language ID, and punctuation, setting a new bar for industrial-grade speech processing.
