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Comment by makaimc | Hacker News Reader

Hey HN, Matt from AssemblyAI here. If you want to test out LeMUR one of the fastest ways is with our Google Colab: https://colab.research.google.com/drive/1xX-YeAgW5aFQfoquJPX...

I'm happy to answer questions about the API as well

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Do you use Whisper for the transcript (which version? base?) and GPT-3.5-turbo for the language model? Do you provide a self-hosted solution for the companies that don't want their meetings going "on the cloud"? I do not mean to be dismissive of all your work, I know too well the devil is in the details, but what are the key advantages of using your solution over having a Python dev (or GPT-4) write a similar tool using Langchain + whisper + llama2 for example? Again, please do not take this as a cheap shot, I might not be the target audience but if I were to use such a tool I would like everything to run locally because of privacy/corporate spying concerns. Thanks!

EDIT: Also it is unclear if you support other languages than English. Whisper does, so in theory you should. There are companies out there where English is not the work language.

They have their own ASR Conformer-2[0] and support 9 languages (they count it as 12)[1]

It looks like their synchronous transcribe is much slower than whisper, but if you need it fast, you need their realtime ASR (or amazon or google's).

[0] Conformer-2 is trained on 1.1M hours of English https://www.assemblyai.com/blog/conformer-2/ [1] https://www.assemblyai.com/docs/Concepts/supported_languages

You can use deepgram who has their own model but also has an option to use whisper hosted by them

Love using Google Collab as your onboarding doc.

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