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Whisper – open source speech recognition by OpenAI

openai.com

221–230 of 508 posts

Re: Whisper – open source speech recognition by OpenAI

#221
post #5

Neat, https://github.com/openai/whisper - they have open-sourced it, even the model weights, so they are living up to their name in this instance. The 4 examples are stunningly good (the examples have speakers with heavy accents, speaking in foreign language, speaking with dynamic background noise, etc.), this is far and away better than anything else I've seen. Will be super curious to see other folks trying it out…

Can't wait to see twelve new $49.99/mo speech parser services pop up in the next few weeks.

Re: Whisper – open source speech recognition by OpenAI

#222

Earlier quoted context omitted.

No it isn't. That just means 2-3% of your content needs to be double-checked by a person at the audio level, saving huge amounts of time - equally true of human transcription, in which individual words are often [UNINTELLIGEBLE]. Would you want to review this fully before going into court, absolutely - because you'd want to play the recording to a jury for emotional impact. Can you rely on it when you want to quickly…

If you know which 2-3% are the false positives, you have a very lucrative business model.

When doing validation, I find it will often be the same errors repeated again and again in a transcription. Like it will fail on someone or some thing's name (that is rare / unique) and map it onto a known similar sounding word.

Re: Whisper – open source speech recognition by OpenAI

#227
I've never seen transcription and translation combined into a single step like this before...

Have I been living under a rock, or is this new?

I assume it should help performance, because it means emphasis, timing and tone can be used to inform the translation. Helps make better guesses about information missing from the source language.

Re: Whisper – open source speech recognition by OpenAI

#229
A notebook is available to try with your microphone on Colab here: https://colab.research.google.com/drive/1nBZ-pDIaIi3N1DIIXvJ...

I'm surprised by the quality on non-English languages, given that 80+% of the training data is English, and the rest is split between tens of languages.

Re: Whisper – open source speech recognition by OpenAI

#230
post #118

Earlier quoted context omitted.

This isn't exactly a hard story to fact check. There is 0 evidence for this in either the reddit thread or really anywhere? If they were willing to lie about the company name why not just lie about the beef in their burgers it would be equally scandalous

The company name could be 100% legit, there is nothing stopping you from a forming a company with that name and not even sell beef.

It definitely happens.

There are at least two companies that have branded [..] Kosher Gelatin™. One of them makes gelatin that is considered non-kosher by all of the major kashrus agencies.

"Kosher Gelatin®", when in the ingredients, just means the product contains pork.

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