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This should be trivially solveable with a glossary as context, as you suggest. I bet the above repo would love a PR, too!
by jvanderbot 2y ago
This should be trivially solveable with a glossary as context, as you suggest. I bet the above repo would love a PR, too!
- sesm 2y agoBut the error happens in 'audio to text' part, so text prompt won't solve it. The way to fix it is probably fine-tuning the underlying audio to text model.
- alkonaut 2y agoDoing audio-to-text requires having a statistical model for what word or phrase a piece of sound is most likely to be. Without context, you can't do better than ranking the most likely candidates where a common word is more likely than an uncommon one. Having a task-specific dictionary at that point would help. One could also imagine doing it at the summary step where the AI could simply be asked to do phonetic analysis. "Here is a transcription of a meeting. Here is a list of terms/names/participants etc. Given the transcription, the meeting context/topics and assuming the transcriptor has made errors, replace similarly sounding words and terms with more likely ones from the context"
- ukuina 2y agoWhisper accepts a system prompt.