Topic clustering of audio taken from youtube interviews.
- google-api-python-client==1.6.4
- httplib2==0.10.3
- oauth2client==4.1.2
- pyasn1==0.4.2
- pyasn1-modules==0.2.1
- rsa==3.4.2
- six==1.11.0
- SpeechRecognition==3.8.1
- tqdm==4.19.5
- uritemplate==3.0.0
Run video2audio.py to generate a .wav file from the youtube video url. Change the url in the code accordingly.
You will need a google cloud API key. api-key.json contains the credentials.
Since google cloud API only works for 1 minute videos, the videos are broken down into 30 seconds frames, just to be safe.
Use this command on your terminal.
ffmpeg -i source/genevieve.wav -f segment -segment_time 30 -c copy parts/out%09d.wav
Run transcribe.py to convert all the audio files inside the parts/ folder to text. This is done using the SpeechRecognition module and Google's Speech API.
The transcript is generated inside transcripts/.
Refer to lda.ipynb for a detailed explanation.