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vlt Launches "reproduce": A New Tool Challenging the Limits of Package Provenance
vlt's new "reproduce" tool verifies npm packages against their source code, outperforming traditional provenance adoption in the JavaScript ecosystem.
stream-audio-fingerprint
Advanced tools
This module is a duplex stream (instance of stream.Transform) that converts a PCM audio signal into a series of audio fingerprints. It works with audio tracks as well as with unlimited audio streams, e.g. broadcast radio.
The acoustic fingerprinting technique used here is the landmark algorithm, as described in the Shazam 2003 paper.
The implementation in codegen_landmark.js
has been inspired by the MATLAB routine of D. Ellis "Robust Landmark-Based Audio Fingerprinting" (2009). One significant difference with Ellis' implementation is that this module can handle unlimited audio streams, e.g. radio, and not only finished audio tracks.
Note the existence of another good landmark fingerprinter in Python, dejavu.
In a nutshell,
dt
, f1
and f2
, ready to be inserted in a database or to be compared with other fingerprints.In the background, about 12s of musical content is represented as a spectrogram (top frequency is about 10kHz). The blue marks are the chosen spectrogram peaks. Grey lines are peaks pairs that each lead to a fingerprint.
Given the same audio, this figure shows the same peaks and the internal forward threshold that prevent peaks from being too close in time and frequency. The backward threshold selection is not represented here.
npm install stream-audio-fingerprint
The algorithm is in codegen_landmark.js
.
A demo usage, using ffmpeg, is proposed in codegen_demo.js
.
var decoder = require('child_process').spawn('ffmpeg', [
'-i', 'pipe:0',
'-acodec', 'pcm_s16le',
'-ar', 22050,
'-ac', 1,
'-f', 'wav',
'-v', 'fatal',
'pipe:1'
], { stdio: ['pipe', 'pipe', process.stderr] });
process.stdin.pipe(decoder.stdin);
var Codegen = require("stream-audio-fingerprint");
var fingerprinter = new Codegen();
decoder.stdout.pipe(fingerprinter);
fingerprinter.on("data", function(data) {
for (var i=0; i<data.tcodes.length; i++) {
console.log("time=" + data.tcodes[i] + " fingerprint=" + data.hcodes[i]);
}
});
and then we pipe audio data, either a stream or a file
curl http://radiofg.impek.com/fg | nodejs codegen_demo.js
cat awesome_music.mp3 | nodejs codegen_demo.js
See LICENSE file. If you wish to use this software with another license, do not hesitate to contact me at a_npm (at) storelli (point) fr
FAQs
Audio landmark fingerprinting as a Node Stream module
We found that stream-audio-fingerprint demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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