OpenAI NEW Whisper is AMAZING!
Key Takeaways
OpenAI's Whisper speech recognition tool is demonstrated, showcasing its ability to transcribe audio files with various accents and languages, and providing instructions on how to install and use it with Python, Git, and Google Colab.
Full Transcript
Hello friends and family and everyone else today we're going to be talking about open ai's new open source uh near and left called whisper open AI is more famously known for Dolly and the Dota 2 Bots which is called open ai5 I think which beats uh like all all the best builder teams and um you know they played like 40-ish thousand games online and 199.4 of those games so that's that's pretty impressive um but yeah whisper is um speech recognition tool so you can input an audio file and uh you know with basically and it's any accent speaking English and it will uh transcribe it for you um let's let's see an example here go with this speed talk in here each one has dramatic details decision page that there's a police station I mean that's fast I mean if you would put that into your uh you know Android phone or iPhone or whatever the the speak recognition system there would you know totally flip wouldn't work so if you reveal the temp transcript you can see it's you know it's pretty good and um you can try the the accent here which is the I think it was the Scottish let's listen to it [Music] and the methods that metal and magicians split one and I want is three are the left the two dollars at the back of us which you can see and when I was never good they always stay in the borders of the master on the Hiltons but then I'll get the good red arm as you can see today there's no sunshine it's a terrible squash there I mean that's a tough job for any speaker condition so this is the is doing great so uh I thought I'm gonna show you how to use it and work with it so um I went into the openai GitHub you can just Google open AI whisper GitHub uh and we'll take is the same page I prepared uh and there's there's instructions for installing it if you wanna if you have a you know a card that can Hardware that can handle that you need Python and git and package menu manager for ffmpeg I tried this quickly and it works great but uh compared to the Google collab collab it's a little slow even on my projects 3080. so here let's try this column example so just run this connect run all run anyway we're gonna wait for this to load and I'll uh see you in a okay so everything has finished loading here so we're gonna input an audio file foreign 's loaded we're going to press code go whisper take this copy add dot MP3 and if you have a file that's not an in English or well any language you can go language like Swedish Spanish whatever it will still try to Auto detect it but it doesn't work for all the languages uh you could for example go language Swedish Swedish task translate it would try to translate it to English for you but this is English and we're gonna let it all detect so now we started detecting and it detected English and uh it's uh transcribing the song and you've just been regrowled in a tutorial video so yeah and after it's done it's gonna output here at a text as well so you can download that if you want and uh you have all the text here not properly formatted with no that's what it is so if you like this content like And subscribe and it's uh it will help me a long way making more of these videos thanks and bye
Original Description
I'll show you how to work with #openai 's new neural network #Whisper. Is it the best speech recognition #ai out there?
https://openai.com/blog/whisper
https://github.com/openai/whisper
https://colab.research.google.com/github/openai/whisper/blob/master/notebooks/LibriSpeech.ipynb
00:00 - Intro
01:56 - Tutorial
03:50 - Results
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Chapters (3)
Intro
1:56
Tutorial
3:50
Results
🎓
Tutor Explanation
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