Ask HN: How to boost Gemini transcription accuracy for company names?
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Re: Ask HN: How to boost Gemini transcription accuracy for company names?
#22Re: Ask HN: How to boost Gemini transcription accuracy for company names?
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Re: Ask HN: How to boost Gemini transcription accuracy for company names?
#24Re: Ask HN: How to boost Gemini transcription accuracy for company names?
#25adding to the question, ruling out fine-tuning for practicality, what about injecting names towards the embedding but not into the context?
Re: Ask HN: How to boost Gemini transcription accuracy for company names?
#26adding to the question, ruling out fine-tuning for practicality, what about injecting names towards the embedding but not into the context?
Re: Ask HN: How to boost Gemini transcription accuracy for company names?
#27The business edition of Wispr Flow does this well, and includes sharing among teams so you can make sure that the company wide vocabulary is consistent and well recognized. https://wisprflow.ai/business
Re: Ask HN: How to boost Gemini transcription accuracy for company names?
#28Give it a database backend with lots and lots of facts. Things verified by humans. There, AI 'fixed'.
Re: Ask HN: How to boost Gemini transcription accuracy for company names?
#29Don't solve it on the STT level. Get the raw transcription from Gemini then pass the output to an LLM to fix company names and other modifications. Happy to share more details if helpful.
Yeah, I've done it with industry-specific acronyms and this works well. Generate a list of company names and other terms it gets wrong, and give it definitions and any other useful context. For industry jargon, example sentences are good, but that's probably not relevant for company names. Feed it that list and the transcript along with a simple prompt along the lines of "Attached is a transcript of a conversation cr…