This gem was built to help not only developers but enthusiasts to have a start with audio fingerprint.
To fingerprint audio you must have a wav file with this configuration:
- 1 Channel (Mono)
- 32 bits float
- 44100Hz
Also, make sure you installed the FFTW library:
brew install fftw
Or... you can download the source and compile the code if you're on Linux.
Add this line to your application's Gemfile:
gem 'audio-fingerprint'
And then execute:
$ bundle
Or install it yourself as:
$ gem install audio-fingerprint
# Instantiate
f = AudioFingerprint::Fingerprint.new(full-path-to-file)
# Create the fingerprint
f.create_fingerprint
# Get the fingerprinted array
f.fingerprint
# You can compare 2 fingerprints like this:
f1.compare(f2.fingerprint) # return the match percentage or falseaudio_fingerprint
- Fork it ( http://github.com//audio-fingerprint/fork )
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create new Pull Request
This was not 100% me, a lot of this code was spread in the internet and I wanna thank you these people for their good work and to share it with us.
- wavefile gem - I took a class from version 0.3.0
- companygardener gist - This Gist was very helpful to fingerprint the audio files
- How to compare audio in Ruby - This was really helpful, and I adapted his fingerprint class to fit my needs.
I really want to push this forward and make cool things with it, you guys can help me with pull requests and ideas. Here’s what I want to accomplish:
- Support for multiple audio formats, frequencies and channels
- Ability to recognize multiple audio fingerprints in one fingerprint (like Google Speech API does, transform a phrase into text words).
- This will require a database to store the fingerprinted words to compare them with the fingerprinted phrase.
Thanks guys!