Consider the use case of wanting to transcribe a YouTube video for an audio impaired colleague. The video can be downloaded from YouTube using youtube-dl:
pip install --upgrade youtube-dl
We can use youtube-dl to download the audio from a YouTube video:
youtube-dl --extract-audio --audio-format wav --output "myvid.%(ext)s" https://www.youtube.com/watch?v=AZKcl4-tcuo
Alternatively we can download the video to then manually extract the audio using ffmpeg ourself, as explained in the GNU/Linux Survival Guide. In our example we explicitly ask for an mp4 rather than the default webm format. Either would do and ffmpeg will extract the audio as required.
youtube-dl --recode-video mp4 --output myvid https://www.youtube.com/watch?v=AZKcl4-tcuo
To extract the audio from the video using ffmpeg:
ffmpeg -i myvid.mp4 myvid.wav
It is then straightforward to transcribe the wav file, saving the output into the text version:
ml transcribe azspeech myvid.wav > myvid.txt
If the video is in Indonesian, for example, then a better result will be obtained with:
ml transcribe azspeech --lang=id-ID myvid.wav > myvid.txt
With a pipeline, the current implementation of the transcribe command will not wait for the audio to complete, and so the pipeline will not be successful.
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