I am experimenting with Multi-modal content recommendation for some TV programs. For now i am working in python on audio features to find out the programs similarities with each-other.

I want to input some audio features into a Bag-of-Audio words. Features are extracted from the complete audio of programs/episodes containing voice-overs as well.

  1. The question is, if MFCC features are extracted directly on program's background music+voiceovers, do they produce any promising results?

  2. which are the other audio features that may work well for audios when combined with voice-overs?

  3. If not then what can be the possible method/software/technique to separate the audio and voice overs from a program episode? and whether thy work better when processed separately and then combined later on?

    • I have tried using some software like Audacity to separate the music with voice-over and it extremely reduces the audio quality.

Thanks Saba.

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.