Music Information Retrieval
Showing 15 of 15 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.
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.
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