Papers by Joshua Hartshorne
That doesn’t sound right: Evaluating speech transcription quality in field linguistics corpora (2025.acl-short)
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| Challenge: | Automated speech recognition (ASR) is a popular tool for documenting languages, but field linguists do not have the data to train robust models. |
| Approach: | They propose to use fieldwork data to identify speech transcriptions that may be unsuitable for training ASR models. |
| Outcome: | The proposed measures can be used to identify transcriptions with characteristics common in field data but could be detrimental to ASR training. |