Mercurial > hg > btrack
view README.md @ 69:1df0d2eb701c
flow: Created branch 'release/1.0.0'.
author | Adam Stark <adamstark@users.noreply.github.com> |
---|---|
date | Tue, 08 Jul 2014 12:22:37 +0100 |
parents | ae3ec9b14092 |
children | 2a842ae6422e |
line wrap: on
line source
BTrack - A Real-Time Beat Tracker ================================= ** Version 0.9 ** *by Adam Stark, Matthew Davies and Mark Plumbley.* About BTrack ------------ BTrack is a causal beat tracking algorithm intended for real-time use. It is implemented in C++ with wrappers for Python and the Vamp plug-in framework. Full details of the working of the algorithm can be found in: * Musicians and Machines: Bridging the Semantic Gap in Live Performance, Chapter 3, A. M. Stark, PhD Thesis, Queen Mary, University of London, 2011. * Real-Time Beat-Synchronous Analysis of Musical Audio, A. M. Stark, M. E. P. Davies and M. D. Plumbley. In Proceedings of the 12th International Conference on Digital Audio Effects (DAFx-09), Como, Italy, September 1-4, 2009. Versions -------- ==== 0.9 ==== * This is the original version of the BTrack algorithm License ------- BTrack is made available under the GNU General Public License, version 3. Please see the included LICENSE.txt for more details. Usage - C++ ----------- **STEP 1** Include the BTrack header file as follows: #include "BTrack.h" **STEP 2** Instantiate the algorithm by one of the following: // to use the default 512 hop size and 1024 frame size BTrack b; or: // to specify a hop size (e.g. 512) and have a frame size of 2 x the hop size BTrack b(512); or: // to specify both the hop size and frame size BTrack b(512,1024); **STEP 3.1 - Audio Input** In the processing loop, fill a double precision array with one frame of audio samples (as determined in step 2): double *frame; // ! // do something here to fill the frame with audio samples // ! and then call: b.processAudioFrame(frame); and to check for beats, simply call: if (b.beatDueInCurrentFrame()) { // do something on the beat } **STEP 3.2 - Onset Detection Function Input** The algorithm can process onset detection function samples. Given a double precision onset detection function sample called 'newSamples', at each step, call: b.processOnsetDetectionFunctionSample(newSample); and then check for beats with: if (b.beatDueInCurrentFrame()) { // do something on the beat }