log inhelp

 | 

  • If you are citizen of an European Union member nation, you may not use this service unless you are at least 16 years old.

  • You already know Dokkio is an AI-powered assistant to organize & manage your digital files & messages. Very soon, Dokkio will support Outlook as well as One Drive. Check it out today!

View
 

Modelling Tempo Variation

Page history last edited by Johanna Devaney 14 years, 5 months ago

Team

 

Description

Inspired by Paul's In search of the click track post, this project is attempting to use the beat-tracking and section analysis aspects of the EchoNest API to model tempo variation and evolution. In order to simplify the problem, the detected sections into thirds (roughly beginning/middle/end).  For example, an analysis of Curtis Mayfield's music indicates that there was much more variation in tempo in the first section of the songs than in the middle and ending sections.

.

The goal is to be able to create descriptors for remixing audio tracks with different tempo evolution patterns extracted by analyzing the audio of other artists.  For example, we could 'Mayfieldize' Britney Spears.

 

Tools, Platforms and APIs Used

EchoNest API

Python

Matlab

 

Comments (1)

Jim Simons said

at 5:41 am on Dec 10, 2009

This shows what happens when you don't play to a click. It takes a while for bands to 'settle into a groove'

You don't have permission to comment on this page.

Printable version