{"ID":2850225,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.22172","arxiv_id":"2510.22172","title":"M-CIF: Multi-Scale Alignment For CIF-Based Non-Autoregressive ASR","abstract":"The Continuous Integrate-and-Fire (CIF) mechanism provides effective alignment for non-autoregressive (NAR) speech recognition. This mechanism creates a smooth and monotonic mapping from acoustic features to target tokens, achieving performance on Mandarin competitive with other NAR approaches. However, without finer-grained guidance, its stability degrades in some languages such as English and French. In this paper, we propose Multi-scale CIF (M-CIF), which performs multi-level alignment by integrating character and phoneme level supervision progressively distilled into subword representations, thereby enhancing robust acoustic-text alignment. Experiments show that M-CIF reduces WER compared to the Paraformer baseline, especially on CommonVoice by 4.21% in German and 3.05% in French. To further investigate these gains, we define phonetic confusion errors (PE) and space-related segmentation errors (SE) as evaluation metrics. Analysis of these metrics across different M-CIF settings reveals that the phoneme and character layers are essential for enhancing progressive CIF alignment.","short_abstract":"The Continuous Integrate-and-Fire (CIF) mechanism provides effective alignment for non-autoregressive (NAR) speech recognition. This mechanism creates a smooth and monotonic mapping from acoustic features to target tokens, achieving performance on Mandarin competitive with other NAR approaches. However, without finer-g...","url_abs":"https://arxiv.org/abs/2510.22172","url_pdf":"https://arxiv.org/pdf/2510.22172v1","authors":"[\"Ruixiang Mao\",\"Xiangnan Ma\",\"Qing Yang\",\"Ziming Zhu\",\"Yucheng Qiao\",\"Yuan Ge\",\"Tong Xiao\",\"Shengxiang Gao\",\"Zhengtao Yu\",\"Jingbo Zhu\"]","published":"2025-10-25T05:51:02Z","proceeding":"cs.SD","tasks":"[\"cs.SD\",\"cs.CL\"]","methods":"[]","has_code":false}