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Xiaomi unveils LLM-based ASR for noisy environments

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced Xiaomi-CocktailASR-1, a novel end-to-end Automatic Speech Recognition (ASR) architecture designed to tackle the 'cocktail party problem' in multi-speaker environments. This LLM-based system utilizes voiceprint prompts to transcribe a target speaker's speech without prior separation, maintaining competitive single-speaker performance and adding a crucial rejection capability for absent target speakers. The architecture also supports a Chain-of-Thought reasoning mode and has demonstrated state-of-the-art results on various benchmarks. AI

IMPACT This model could significantly improve ASR performance in noisy, multi-speaker environments, benefiting applications like voice assistants and transcription services.

RANK_REASON The cluster contains a technical report published on arXiv detailing a new model architecture for Automatic Speech Recognition. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Xiaomi unveils LLM-based ASR for noisy environments

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The cluster contains a technical report published on arXiv detailing a new model architecture for Automatic Speech Recognition. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 Română(RO) · Yiru Zhang, Hang Su, Lichun Fan, Ying Zeng, Chang Liu, Yifeng Wang, Yuquan Liang, Tao Li, Lian Li, Wenhao Yang, Jian Luan, Cong Zou, Heng Qu ·

    Xiaomi-CocktailASR-1 Technical Report

    arXiv:2609.11274v1 Announce Type: cross Abstract: Recently, large language model (LLM) based ASR models have achieved significant progress, yet they generally lack support for multi-speaker scenarios, where the cocktail party problem remains a critical bottleneck for further adva…

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