A C++ Library for Audio Analysis

Mir (backports): Sparse tensors, Hoffman

Deep learning for MIR

Fast and simple music and audio analysis using RNN in Python 🕵️‍♀️ 🥁

💻📱 A cross platform system abstraction library written in C++ for managing windows and performing OS tasks.

[REPO] Music Genre classification on GTZAN dataset using CNNs

.NET library for 1D signal processing focused specifically on audio processing

SEGAN pytorch implementation https://arxiv.org/abs/1703.09452

公众号“无痛入门音乐科技”开源代码

Contactless EMV credit card reader

Package for automatic beat-mixing of music files in Python 🐻🎚

Music Synthesis with Python talk, originally given at PyGotham 2017.

Supplementary material for IJCNN paper "Musical Artist Classification with Convolutoinal Recurrent Neural Networks"

Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmentation, evaluation in noisy conditions, etc.

Tensorflow wrapper for D

A Puredata real-time music analysis patch using OSC communication.

Framework for estimating temporal properties of music tracks.

Open source library that allows you to efficiently compute audio features.

numpy-like API wrappers of mir

Statically detect double-lock & conflicting-lock bugs on MIR

Luncz allows musicians to record a 10 second snippet of live music played on an acoustic or an amplified instrument, and analyzes the recording to extract the notes, the tempo, and the intensity level of the music. Using this data, Luncz generates new music to accompany the musician.

Evaluation metrics for machine-composed symbolic music. Paper: "The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-Composed Music through Quantitative Measures", ISMIR 2020

Neural network to classify certain styles of Electronic music

Framework for estimating harmonic properties of music tracks.

Piano Sustain-Pedal Detection Using Convolutional Neural Networks and Transfer Learning

Wrapper for mirscreencast and ffmpeg to record Unity 8 desktop videos.

Pretty printing multidimensional D arrays.

Field observation quick analysis toolkit (kw: field observation, air polltion, time series summary, time series resampling, average variation, ozone formation potential (OFP), MIR, tuv).

buffer protocol interface for Python and D