Sound Software .ac.uk

Supplementary Material (code) for Chourdakis, E. T. and Reiss, J.D -"A Machine-Learning Approach to Application of

Output notes to MIDI and Supercollider and input from MIDI for Prolog.

This superproject contains the code subrepositories for the project 'Digital Music Lab: Analysing Big Music Data' in partnership with Queen Mary University of London, City University, University College London ...

Singing with other singers is a common scene in practical performance and it is very hard to keep in tune. The aim of this research is to find an evidence of the interaction in SATB ensemble which makes a comparison of intonation accuracy of individual singers and collaborative ensembles ...

Public fork of dml home with a view to merge into dml-home eventually

Third-party library builds which May depends on

Description: This code performs sound event detection in complex acoustic environments. This version is trained with office sounds (16 event classes) from the DCASE 2013 Office Synthetic (OS) development set ...

Crude pre-processing to flatten out the RMS level of a signal. Like a slow, unmusical dynamic compressor. Implemented as a LADSPA plugin in C++, works in real time, so has significant lag. A possible alternative to other normalisation techniques for pre ...

A set of Vamp audio analysis plugins developed at the Centre for Digital Music.

A collection of Compressed Sensing algorithms (mainly solvers) implemented in Python.

This is a central point for managing, sharing, and developing the software outputs of the "Shaping Music in Performance" project (see provided url).

A proof-of-concept audio visualisation and analysis web app, using Piper libraries (and Vamp plugins) and Waves-UI components in an Angular 4 application.

Introduction to Audio processing using Python.