A multi-channel neural network audio classifier using Keras
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Updated
Jul 29, 2021 - Python
A multi-channel neural network audio classifier using Keras
Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models
Bulk music recognition & tagging tool. Identify unknown MP3s and organize your music library automatically.
A beets plugin for obsessive-compulsive music geeks to fix missing album release date.
Import, maintain and export tag metadata to/from audio files and a dynamically created SQLite table. Automates incremental tag cleanup, enrichment and standardisation for your digital audio library at scale using pre-scripted SQL queries and Polars, achieving quality and consistency in your metadata not possible with a tagger
Music tagger with GUI that parses wikipedia for information. Can also download album art and lyrics.
A Swiss Army knife for programmatic music library management. Manages both local and music streaming service libraries.
Repository for the ICASSP 2024 paper "An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging".
A pianist identification system based on midi inputs, using convolutional neural networks. (IS2 2023)
a unified audio tagging interface for multiple metadata containers
🎵 Convert .m4a files to .wav in bulk, preserving folder structure and file organization. Powered by ffmpeg and Python — fast, parallel, and dead simple.
Python-Skript zum automatischen Analysieren und Taggen von Cue-Points nach einem vorgegebenen Muster fuer die Rekordbox-Library — vorwiegend EDM-Tracks.
Muzlib is python script for creation your own music library.
A web application for downloading Spotify and Youtube playlists and albums
A Multi Scale Convolutional Neural Network Architecture for Music Auto-Tagging
Incorporating Word Embeddings in Semantic Label Deep Learning Classifiers - MSc Applied Mathematics Research Project - Imperial College London
🎼 2024 NTU GICE DeepMIR HW1
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