Transcribe Audio Files in your Google Drive with OpenAI's Whisper

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  • เผยแพร่เมื่อ 14 ต.ค. 2022
  • In this tutorial I show how to use OpenAI's Whisper automatic speech recognition model, Google Drive and Colab to transcribe all the audio files in a Google Drive folder for free.
    Python notebooks for OpenAI's Whisper: github.com/AndrewMayneProject...
    More about OpenAI's Whisper ASR model: openai.com/blog/whisper/
    OpenAI's Whisper GitHub: github.com/openai/whisper

ความคิดเห็น • 35

  • @MondSemmel
    @MondSemmel ปีที่แล้ว +1

    Thanks a ton, this is a wonderfully simple tutorial. When I looked up how to use OpenAI Whisper before, the instructions usually involved setting up a docker server and/or required a very powerful GPU.

  • @bartholdrotgans8778
    @bartholdrotgans8778 ปีที่แล้ว

    Thank you Andrew! Very clear and works perfectly!

  • @margaretgb
    @margaretgb ปีที่แล้ว

    Thank you, Andrew! This was very helpful! You rock!

  • @PhilipSalt
    @PhilipSalt ปีที่แล้ว

    Thank you Andrew. I have been looking for this super simple solution

  • @de1phinus2024

    This is brilliant, thank you. Not going to lie, I didn't realise I should open the Python Notebook link and then open in Colaborate as this is a very new world to me, but once I finally figured it out and let the system do it's thing, it has been a game changer. I record audio notes on my watch (Samsung Classic Watch 6), share them to my Google Drive into the WhisperAudio folder, and your magic code does the rest. You rock!

  • @Democracy_Manifest
    @Democracy_Manifest ปีที่แล้ว

    Short slamming stuff. Thanks for getting straight to it with no nonsense.

  • @storhund868
    @storhund868 ปีที่แล้ว

    Awesome, awesome video. Exactly what I was looking for. Thank you!!

  • @chrismalone617
    @chrismalone617 ปีที่แล้ว

    Thanks so much for this! Running my first file now.

  • @user-ne9tn3yn6r
    @user-ne9tn3yn6r ปีที่แล้ว

    Thank you Andrew, a life saver!

  • @julesharper7209

    This is great! Many thanks!

  • @TF-qt3jh
    @TF-qt3jh ปีที่แล้ว +1

    ❤Great video! So many similar videos everywhere these days, but you were the one of the fists and easiest to follow. Thank you! I was looking for this! By the way, I'm trying to add "Summarize" function after this transcribing step. I'd appreciate it if you could give me (us viewers) some idea?💙

  • @leilanepapa
    @leilanepapa ปีที่แล้ว

    This is amazing!

  • @olegchernov1329
    @olegchernov1329 ปีที่แล้ว +1

    What a great video! Thank you for all of your hard work. I was wondering if it is possible to set up some kind of trigger, maybe a time trigger, to run this script periodically, let's say every couple of hours.

  • @Coruption12
    @Coruption12 ปีที่แล้ว

    Lifesaver, love you g

  • @vladip.1879
    @vladip.1879 ปีที่แล้ว +3

    Hey Andrew, thank you for that wonderfull piece 🙂

  • @MSaTTarKhan
    @MSaTTarKhan ปีที่แล้ว

    Nice video sir! Will it work in other languages as well?

  • @jussimirpasold2030
    @jussimirpasold2030 ปีที่แล้ว

    Really cool, it is possible to add speakers identification (diarization) in this model?

  • @kabirmjoshi2043
    @kabirmjoshi2043 ปีที่แล้ว

    Hi, thiswas super helpful. However I had a query. I followed your process to begin transcribing my interviews. These are a mix of English and Hindi. As I ran the transcription, I realised that It was taking really long. A 45 min interview took more than 90 min. is this normal or is there a way I can improve the speed

  • @PremiumLeo
    @PremiumLeo ปีที่แล้ว +1

    Hey andrew, is there any way to use the new Whisperai using the API key, to transcribe from my google drive?

  • @invisiblelove89

    Thanks for your useful tutorial. The hardware accelerator list only includes CPU, T4, TPU, A100 GPU, and V100 GPU. How can I make use of M1 Max? Thank you.