First impression of whisper

Tried out openai/whisper

Whisper is a general-purpose speech recognition model.


It also requires the command-line tool ffmpeg to be installed on your system,

# on MacOS brew install ffmpeg

OMG. Installing one package on brew takes so long

Had some errors trying to run whisper

Traceback ... ... [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1125) ...

Fixed the error by running following command (change 3.8 to your version of python)

/Applications/Python\ 3.8/Install\ Certificates.command


Command I used for transcribing

whisper audio_en.mp3 --model base --language en whisper audio_ko.mp3 --model base --language ko

Using any other models bigger than 'base' was way too slow for my old macbook (2015).


Command line shows some sample results on the terminal. Generates transcribed files: *.vtt and *.txt


Awesome speech recognition for English. It can pick up my voice reading stuff in English with some accent flawlessly.

However, voice memo that contains a conversation between me and my then-4yo daughter in Korean wasn't as impressive. Much more room to improve on Korean and possibly other non-English languages.

Grateful that these things are available.