Xu Tang

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.

GlyphAnchor achieves unprecedented text fidelity in image generation, even with complex and rare characters, by anchoring glyphs to their positions in the target image.

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.

Semantically enriched speech representations in FireRedTTS3 lead to unprecedented stability and fidelity in voice cloning and editing tasks.

Flow-matching transformers with latent multi-modal conditioning and self-reference can leapfrog existing virtual try-on methods in both visual fidelity and inference speed.

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.