Skip to main content

A minimal python implementation of automatic chord estimation

Project description

This derives from my PhD thesis: Deng, J., Large Vocabulary Automatic Chord Estimation from Audio Using Deep Learning Approaches. PhD thesis, Department of Electrical and Electronic Engineering, The University of Hong Kong, 2016

However the code of this work is written in matlab (https://github.com/tangkk/tangkk-mirex-ace). So I try to port those code into python. But this is by no means a direct porting. It is meant to be minimalist version of ACE, which keeps only the algorithmic gist of the original work.

Compared with the original version which supports sevenths chords and inversions, this piece of code currently only supports maj and min triads, and it has much more elegant (only a few lines of) feature extraction and segmentation codes, which leverages librosa and hmmlearn.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyace-0.1.1.tar.gz (11.4 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page