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Guttandin"},"license":"MIT","homepage":"https://github.com/chrisguttandin/web-audio-beat-detector","repository":{"type":"git","url":"git+https://github.com/chrisguttandin/web-audio-beat-detector.git"},"description":"A beat detection utility which is using the Web Audio API.","contributors":[{"name":"Darío Hereñú","email":"magallania@gmail.com"},{"name":"James Gentes","email":"jgentes@users.noreply.github.com"}],"maintainers":[{"name":"chrisguttandin","email":"chrisguttandin@media-codings.com"}],"readme":"![logo](https://repository-images.githubusercontent.com/61281324/6526e580-3b28-11ea-90ce-be241599f494)\n\n# web-audio-beat-detector\n\n**A beat detection utility which is using the Web Audio API.**\n\n[![version](https://img.shields.io/npm/v/web-audio-beat-detector.svg?style=flat-square)](https://www.npmjs.com/package/web-audio-beat-detector)\n\nThis module is based on the technique explained by [Joe Sullivan](http://joesul.li/van/) in his article [Beat Detection Using JavaScript and the Web Audio API](http://joesul.li/van/beat-detection-using-web-audio/). It retrieves the beats as BPM of a given AudioBuffer. The algorithm used is not as complex (and expensive to compute) as many others. But it yields surprisingly good results especially for electronic music.\n\n## Usage\n\nThe `web-audio-beat-detector` module is available on\n[npm](https://www.npmjs.com/package/web-audio-beat-detector) and can be installed as usual.\n\n```shell\nnpm install web-audio-beat-detector\n```\n\nYou can then import its public function `analyze()` like this:\n\n```js\nimport { analyze } from 'web-audio-beat-detector';\n```\n\nThe `analyze()` function expects an `AudioBuffer` as its first parameter and it returns a `Promise`\nwhich eventually resolves with the tempo of that buffer as a number. An example usage might look\nlike this:\n\n```js\nanalyze(audioBuffer)\n    .then((tempo) => {\n        // the tempo could be analyzed\n    })\n    .catch((err) => {\n        // something went wrong\n    });\n```\n\nAdditionally you can also import the `guess()` function like this:\n\n```js\nimport { guess } from 'web-audio-beat-detector';\n```\n\nThe `guess()` function expects an `AudioBuffer` as well and also returns a `Promise`. The `Promise`\nwill resolve with an object containing the estimated BPM (the rounded tempo) and the offset of the\nfirst beat in seconds.\n\n```js\nguess(audioBuffer)\n    .then(({ bpm, offset, tempo }) => {\n        // the bpm and offset could be guessed\n        // the tempo is the same as the one returned by analyze()\n    })\n    .catch((err) => {\n        // something went wrong\n    });\n```\n\n`analyze()` and `guess()` do both support `offset` and `duration` as optional arguments. When specified these two values are used to select only a part of the given `AudioBuffer`. There usage is the same as described in the documentation of the [`AudioBufferSourceNode.start()`](https://webaudio.github.io/web-audio-api/#widl-AudioBufferSourceNode-start-void-double-when-double-offset-double-duration) method.\n\nBy default the bpm are expected to be between 90 and 180 bpm. This can be changed by specifying the `tempoSettings`. These can be passed as the last argument to `analyze()` or `guess()`.\n\n```js\n// with an offset and duration\nanalyze(audioBuffer, 1, 10, { maxTempo: 120, minTempo: 60 });\n// with no other arguments\nanalyze(audioBuffer, { maxTempo: 120, minTempo: 60 });\n```\n\n## Acknowledgement\n\nA more comprehensive implementation has been done by [José M. Pérez](https://jmperezperez.com). It\ncomes with an UI to search for tracks on Spotify which can then be analyzed. He also wrote a blog\npost\n([Detecting tempo of a song using browser's Audio API](https://jmperezperez.com/bpm-detection-javascript/))\nabout it.\n","readmeFilename":"README.md","users":{"ziflex":true,"andyaxton":true}}