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        "author": "Sam Lavigne",
        "author_email": "splavigne@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Topic :: Multimedia :: Sound/Audio",
            "Topic :: Multimedia :: Sound/Audio :: Editors",
            "Topic :: Multimedia :: Sound/Audio :: Speech"
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        "description": "Audiogrep\n=========\n\nAudiogrep transcribes audio files and then creates \"audio supercuts\" based on search phrases. It uses [CMU Pocketsphinx](http://cmusphinx.sourceforge.net/) for speech-to-text and [pydub](http://pydub.com/) to stitch things together.\n\nHere's some [sample output](http://lav.io/2015/02/audiogrep-automatic-audio-supercuts/).\n\n## Requirements\nInstall using pip\n```\npip install audiogrep\n```\nInstall [ffmpeg](http://ffmpeg.org/) with Ogg/Vorbis support. If you're on a mac with [homebrew](http://brew.sh/) you can install ffmpeg with:\n```\nbrew install ffmpeg --with-libvpx --with-libvorbis\n```\nFinally, install [CMU Pocketsphinx](http://cmusphinx.sourceforge.net/). For mac\nusers I followed [these instructions](https://github.com/watsonbox/homebrew-cmu-sphinx) to get it working:\n```\nbrew tap watsonbox/cmu-sphinx\nbrew install --HEAD watsonbox/cmu-sphinx/cmu-sphinxbase\nbrew install --HEAD watsonbox/cmu-sphinx/cmu-sphinxtrain # optional\nbrew install --HEAD watsonbox/cmu-sphinx/cmu-pocketsphinx\n```\n\n## How to use it\nFirst, transcribe the audio (you'll only need to do this once per audio track, but it can take some time)\n```\n# transcribes all mp3s in the selected folder\naudiogrep --input path/to/*.mp3 --transcribe\n```\nThen, basic use:\n```\n# returns all phrases with the word 'word' in them\naudiogrep --input path/to/*.mp3 --search 'word'\n```\nThe previous example will extract phrase chunks containing the search term, but you can also just get individual words:\n```\naudiogrep --input path/to/*.mp3 --search 'word' --output-mode word\n```\nIf you add the '--regex' flag you can use regular expressions. For example:\n```\n# creates a supercut of every instance of the words \"spectre\", \"haunting\" and \"europe\"\naudiogrep --input path/to/*.mp3 --search 'spectre|haunting|europe' --output-mode word --regex\n```\nYou can also construct 'frankenstein' sentences (mileage may vary):\n```\n# stupid joke\naudiogrep --input path/to/*.mp3 --search 'my voice is my passport' --output-mode franken\n```\nOr you can just extract individual words into files.\n```\n# extracts each individual word into its own file in a directory called 'extracted_words'\naudiogrep --input path/to/*.mp3 --extract\n\nExporting to: extracted_words/i.mp3\nExporting to: extracted_words/am.mp3\nExporting to: extracted_words/the.mp3\nExporting to: extracted_words/key.mp3\nExporting to: extracted_words/master.mp3\n```\n\n### Options\n\naudiogrep can take a number of options:\n\n#### --input / -i\nmp3 file or pattern for input\n\n#### --output / -o\nName of the file to generate. By default this is \"supercut.mp3\"\n\n#### --search / -s\nSearch term\n\n#### --output-mode / -m\nSplice together phrases, single words, fragments with wildcards, or \"frankenstein\" sentences.\nOptions are:\n* sentence: (this is the default)\n* word\n* fragment\n* franken\n\n#### --padding / -p\nTime in milliseconds to add between audio segments. Default is 0.\n\n#### --crossfade / -c\nTime in milliseconds to crossfade audio segments. Default is 0.\n\n#### --extract / -x\n\n#### --demo / -d\nShow the results of the search without outputing a file\n",
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