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by shenberg
13 days ago
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We take a lot of shortcuts when speaking, it's actually much harder to transcribe phonemes than to transcribe words, even when aware of the language being spoken. Some models have been trained for the task (e.g. look at https://huggingface.co/spaces/KoelLabs/IPA-Transcription-EN ), but the error rate is really high. |
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Thanks for the pointer; I'll check out that model and see if it handles the "slowly and carefully" type of recording better than the "natural speaking" type. (And depending on what kinds of errors the model makes, even the recordings where it makes errors can prove useful: for example, a linguist studying regional variations in speech would want the model to produce the IPA for "gonna" rather than "going to").