Audiogrep transcribes audio files and then creates "audio supercuts" based on search phrases. It uses CMU Pocketsphinx for speech-to-text and pydub to stitch things together.
Here's some sample output.
##Requirements Clone this repository
git clone https://github.com/antiboredom/audiogrep.git
Install the python requirements.
pip install -r requirements.txt
Install ffmpeg with Ogg/Vorbis support. If you're on a mac with homebrew you can install ffmpeg with:
brew install ffmpeg --with-libvpx --with-libvorbis
Finally, install CMU Pocketsphinx. For mac users I followed these instructions to get it working:
brew tap watsonbox/cmu-sphinx
brew install --HEAD watsonbox/cmu-sphinx/cmu-sphinxbase
brew install --HEAD watsonbox/cmu-sphinx/cmu-sphinxtrain # optional
brew install --HEAD watsonbox/cmu-sphinx/cmu-pocketsphinx
##How to use it First, transcribe the audio (you'll only need to do this once per audio track, but it can take some time)
# transcribes all mp3s in the selected folder
python audiogrep.py --input path/to/*.mp3 --transcribe
Then, basic use:
# returns all phrases with the word 'word' in them
python audiogrep.py --input path/to/*.mp3 --search 'word'
The previous example will extract phrase chunks containing the search term, but you can also just get individual words:
python audiogrep.py --input path/to/*.mp3 --search 'word' --output-mode word
If you add the '--regex' flag you can use regular expressions. For example:
# creates a supercut of every instance of the words "spectre", "haunting" and "europe"
python audiogrep.py --input path/to/*.mp3 --search 'spectre|haunting|europe' --output-mode word
You can also construct 'frankenstein' sentences (mileage may vary):
# stupid joke
python audiogrep.py --input path/to/*.mp3 --search 'my voice is my passport' --output-mode franken
###Options
audiogrep can take a number of options:
####--input / -i mp3 file or pattern for input
####--output / -o Name of the file to generate. By default this is "supercut.mp3"
####--search / -s Search term
####--output-mode / -m Splice together phrases, single words, or "frankenstein" sentences. Options are:
- sentence: (this is the default)
- word
- franken
####--padding / -p Time in milliseconds to add between audio segments. Default is 0.
####--crossfade / -c Time in milliseconds to crossfade audio segments. Default is 0.
####--demo / -d Show the results of the search without outputing a file