Node.js module for audio recognition services.
In order to use the module, you need to acquire credentials for your application, which can be obtained from the provider's websites.
This library can be installed through npm:
$ npm install --save audio-recognizer
The following example shows how to initialize the library and recognize track based on its fragment. Suggested fragment duration is 15 - 20 seconds.
const AudioRecognizer = require('audio-recognizer');
const config = {
cache_success_responses: true,
cache_dir: './cache',
normalize_results: true,
acrcloud: {
host: '',
access_key: '',
access_secret: '',
endpoint: '/v1/identify',
signature_version: '1',
data_type: 'audio'
},
auddmusic: {
api_token: ''
}
}
const recognizer = new AudioRecognizer(config);
recognizer.recognize('path-to-track-fragment.mp3')
.then(results => /* process results */)
.catch(e => /* handle error */);Also, module can be used via commandline interface:
$ node cli -c cli/config.json fragment.mp3
ACRCloud recognition status: success.
- The Rogue Element – Backbreaker (Rogue Rock) (released 2005-09-26 by Exceptional Records) (score: 76%)
- Robert Vagner – Blaze (Hi, Everyone...) (released 2015-04-13 by Robert Vagner) (score: 76%)
- Deky – Pincher's Dog (Welcome to My Mind) (released 2014-02-25) (score: 73%)
AudDMusic recognition status: success.
- Robert Vagner – Blaze (Hi, Everyone...) (released 2015-04-13 by Robert Vagner)
Type node cli -h for more information.
audio-recognizer is licensed under the MIT License.