Comment by danso

This is an astonishing package. Every AI voice-to-text model I've tried on "The Wire's" famous "fuck" scene [0] usually fails, because the youtube clip's audio quality is bad and it's a scene with virtually no dialogue except breathing and "Fuck". But Whisper returned impressive results [1]

[0] https://www.youtube.com/watch?v=DS6pE88Xg3s

[1]

    $ yt-dlp --extract-audio --audio-format mp3 -o wire-fuck.mp3 https://www.youtube.com/watch?v=DS6pE88Xg3s

    $ whisper --language en wire-fuck.mp3
    [00:00.000 --> 00:02.000]  Oh
    [00:13.260 --> 00:15.260]  Fuck
    [00:15.260 --> 00:31.260]  Motherfucker
    [00:50.700 --> 00:52.700]  Fuck
    [00:52.700 --> 00:58.700]  Oh
    [00:58.700 --> 01:10.700]  Fuck
    [01:28.700 --> 01:55.900]  Fuck
    [02:02.340 --> 02:03.700]  Motherfuck.
    [02:10.220 --> 02:11.220]  Oh, fuck.
    [02:11.780 --> 02:12.780]  Oh, fuck.
    [02:25.900 --> 02:27.900]  Fuck, fuck, fuck, fuck, fuck, fuck.
    [02:27.900 --> 02:28.900]  Motherfucker.
    [02:32.900 --> 02:33.900]  Oh, fuck.
    [02:34.900 --> 02:35.900]  Fuck.
    [02:35.900 --> 02:36.900]  Oh, fuck.
    [02:36.900 --> 02:37.900]  Oh, fuck.
    [02:37.900 --> 02:38.900]  Oh, fuck.
    [02:48.900 --> 02:49.900]  Motherfucker.
    [02:53.900 --> 02:54.900]  Fucking A.
    [02:54.900 --> 02:56.900]  Mm hmm.
    [02:56.900 --> 03:12.900]  Fuck.
    [03:26.900 --> 03:28.900]  Motherfucker.
    [03:28.900 --> 03:32.900]  Fuck me.
    [03:58.900 --> 04:01.900]  Oh.
    [04:28.900 --> 04:34.900]  Fuck.