新闻
A Training Criterion with Token-Level Tolerance to Transcription Ambiguity for Automatic Speech Recognition
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers developed token-level tolerance for speech recognition training, allowing models to handle ambiguous transcriptions by adding wildcard paths at character granularity rather than word level.
- 为何重要
- Speech recognition engineers building multilingual systems should care when training data contains legitimate pronunciation or spelling variations that acoustic signals cannot uniquely determine.
- 注意
- The paper is a preprint submitted to ICASSP 2027 and has not undergone peer review. Real-world deployment impact remains unvalidated beyond the tested 19 languages and three corpora.
- token
- speech
- transcription
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