Separation models for Audio Fingerprinting
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Updated
May 1, 2024 - Python
Separation models for Audio Fingerprinting
Audio fingerprinting and recognition in Python
People can simultaneously record a single moment and create a large collection of unorganized and unprocessed audio and video recordings. To properly playback, edit, and analyze these collections, distinct event identification and time synchronization is required.
Bilkent University Computer Engineering Senior Design Project
golang wrapper for chromaprint
Audio Fingerprinting and Recognition (in Python 3)
🎵 Node.js module that fetches comments and streams from SoundCloud and tries to recognize commented fragments via audio recognition services
This repository provides a complete solution for audio processing and is a valuable resource for anyone looking to explore the field of audio analysis and classification.
An application to generate and store audio fingerprint, which can be used to identify audio clips.
Ruisbestendige muziekherkenning | PWS Bas van den Boom 2018-2019
🎵 Node.js module that fetches comments and streams from SoundCloud and tries to recognize commented fragments via audio recognition services
Implementation of Shazam's Digital Audio Fingerprinting Algorithm in Python
Like Shazam, Audio Fingerprinting Application with Python and Qt Designer (PyQt5).
The Segment Source function allows you to use Fingerprint Pro visitor identification data as a data source in Segment. The function recieves the data through webhooks and normalizes them into Segment Specs.
Audio identification service for working with private music catalogs
A Desktop application for music recognition using audio fingerprinting
Landmark based audio fingerprinting
IOT project which recognizes the current playing song via audio fingerprinting and adds it to your Youtube favorites
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