Music Information Retrieval
Showing 19 of 19 projects
A Python library for music and audio analysis, providing tools for feature extraction, visualization, and transformation.
A library for audio and music analysis, detecting events like onsets, pitch, tempo, and beats in audio signals.
Open-source C++ library for audio analysis, music information retrieval, and synthesis with Python bindings.
A deep learning library for audio and music analysis, providing time-frequency transforms and feature extraction for tasks like classification and MIR.
A curated list of scientific articles, theses, and reports on deep learning applied to music information retrieval and generation.
A curated list of Python software and packages for scientific audio and music research.
A curated list of Python software and packages for scientific audio and music research.
A cross-platform C++ audio synthesis and signal processing library with JavaScript bindings for music DSP applications.
Python audio and music signal processing library
A JavaScript library for audio feature extraction, supporting both offline and real-time analysis via the Web Audio API.
An audio processing toolbox using PyTorch 1D convolutional neural networks for on-the-fly spectrogram generation with trainable kernels.
Classify music genre from a 10-second audio stream using a convolutional neural network trained on mel-frequency spectrograms.
A Python library for extracting a wide range of audio spectral features from mono audio files using efficient algorithms.
A Python library for annotation-aware musical data augmentation to improve statistical model training.
A portable C library for efficient audio feature extraction with a cascading design for performance and flexibility.
A Python library implementing academic DSP algorithms for polyphonic chord detection and key estimation from audio.
Auralisation tool for visualizing learned features in convolutional neural networks applied to audio spectrograms.
Python tools for computational hook discovery and corpus analysis of popular music recordings.
A Python implementation of the Common Fate Transform and Model for audio source separation via spectral-temporal modulation analysis.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.