Whisper2024-03-25

python whisper.py 0.37s user 0.18s system 0% cpu 10:00.79 total

The second half was just noise, so it was actually two hours.

https://gyazo.com/93f3a6c6c1ab03e26ee499dee3a285a7

Try it with a one-hour study session audio

python whisper.py 0.34s user 0.14s system 0% cpu 3:27.50 total

https://gyazo.com/0237823730c2d31c4c1eda0f821e2430

Unlike the previous example, this one talks for almost the entire hour.

One hour of audio, with a processing time of 3.5 minutes and a cost of 40 cents.

I had Claude summarize the resulting transcriptions.

Nothing hard about the code.

code:python

audio_file = open(audio_path, "rb")

transcription = client.audio.transcriptions.create(

model="whisper-1", file=audio_file

)

print(transcription.text)

with open(f"whisper_out/{indir}_{audio}.txt", "w") as f:

f.write(transcription.text)

$ brew install ffmpeg

Note that this is for audio file splitting, so it is not necessary if the audio file is less than 25MB.

The audio of the above hour-long talking session is 15MB, so if you're using a recording app that chops it up in an hour, you don't need it.

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