Creates audio supercuts.
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.
Install using pip
pip install audiogrep
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
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
audiogrep --input path/to/*.mp3 --transcribe
Then, basic use:
# returns all phrases with the word 'word' in them
audiogrep --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:
audiogrep --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"
audiogrep --input path/to/*.mp3 --search 'spectre|haunting|europe' --output-mode word --regex
You can also construct ‘frankenstein’ sentences (mileage may vary):
# stupid joke
audiogrep --input path/to/*.mp3 --search 'my voice is my passport' --output-mode franken
Or you can just extract individual words into files.
# extracts each individual word into its own file in a directory called 'extracted_words'
audiogrep --input path/to/*.mp3 --extract
Exporting to: extracted_words/i.mp3
Exporting to: extracted_words/am.mp3
Exporting to: extracted_words/the.mp3
Exporting to: extracted_words/key.mp3
Exporting to: extracted_words/master.mp3
audiogrep can take a number of options:
mp3 file or pattern for input
Name of the file to generate. By default this is “supercut.mp3”
Search term
Splice together phrases, single words, fragments with wildcards, or “frankenstein” sentences.
Options are:
Time in milliseconds to add between audio segments. Default is 0.
Time in milliseconds to crossfade audio segments. Default is 0.
Show the results of the search without outputing a file
If you receive the error “ERROR: “cmd_ln.c”, line 942: Unknown argument: -alignctl”, uninstalling and reinstalling cmu-sphinxbase and cmu-pocketsphinx may solve the issue.