Papers by Richard Wright
Beyond WER: Probing Whisper’s Sub‐token Decoder Across Diverse Language Resource Levels (2025.emnlp-main)
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| Challenge: | Large multilingual automatic speech recognition models achieve remarkable performance, but the internal mechanisms of the end-to-end pipeline remain underexplored. |
| Approach: | They propose to analyze Whisper's multilingual decoder to uncover systematic decoding disparities masked by aggregate error rates. |
| Outcome: | The proposed model performs better on higher resource languages, but lower resource languages fare worse on these metrics. |