Author

Tianzi Wang

2 papers indexed here

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Open access 2026

Toward Extremely Low-Bit and Multi-Precision Conformer and Speech Foundation Model Quantization

Evaluations show that QACT provides a high-accuracy solution when retraining is affordable, whereas CSVQ offers efficient compression under strict computational budgets.

Zhao-Qing Li, Haoning Xu, Zengrui Jin et al. · IEEE Transactions on Audio,... · 0 citations

#natural language process... Preprint Sep 2026

Qwen-Audio-3.0-ASR Technical Report

In recent years, automatic speech recognition (ASR) has witnessed transformative advancements driven by three complementary paradigms: data scaling, model scaling, and deep integration with large language models (LLMs). However, bridging the gap between academic benchmark performance and real-world production utility r...

Chuan-Meng Bian, Da-Ren Chen, Pei-Xin Chen et al. · 2 citations