Forced alignment aligns speech audio with a text transcript to generate word and phone timestamps. Published comparisons normalize transcripts, split the data and match boundaries differently, so their numbers cannot be read together. We present FA-Bench, an open framework that fixes those choices once and releases the...
Wei Chu, Yuan-Zhe Dong, Ke Tan et al.· 0 citations
Existing single-domain and multi-task audio systems remain limited in directly organizing heterogeneous audio components, ambience, and multiple roles into long-form temporal scenes. We present Qwen-Audio-3.0-Gen-Preview, a unified non-autoregressive framework that uses a Diffusion Transformer (DiT) and a shared variat...
Jun-Yu Dai, Xiao-Yue Duan, Xin-Yu Fan et al.· 1 citation
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
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