/*
- Copyright (C) 2003-2009 Paul Brossier <piem@aubio.org>
+ Copyright (C) 2003-2013 Paul Brossier <piem@aubio.org>
This file is part of aubio.
*/
/** \file
-
+
Spectral description functions
-
+
All of the following spectral description functions take as arguments the FFT
of a windowed signal (as created with aubio_pvoc). They output one smpl_t per
buffer (stored in a vector of size [1]).
-
+
\section specdesc Spectral description functions
A list of the spectral description methods currently available follows.
These functions are designed to raise at notes attacks in music signals.
- \b \p energy : Energy based onset detection function
-
+ \b \p energy : Energy based onset detection function
+
This function calculates the local energy of the input spectral frame.
-
+
\b \p hfc : High Frequency Content onset detection function
-
+
This method computes the High Frequency Content (HFC) of the input spectral
frame. The resulting function is efficient at detecting percussive onsets.
Paul Masri. Computer modeling of Sound for Transformation and Synthesis of
Musical Signal. PhD dissertation, University of Bristol, UK, 1996.
- \b \p complex : Complex Domain Method onset detection function
-
+ \b \p complex : Complex Domain Method onset detection function
+
Christopher Duxbury, Mike E. Davies, and Mark B. Sandler. Complex domain
onset detection for musical signals. In Proceedings of the Digital Audio
Effects Conference, DAFx-03, pages 90-93, London, UK, 2003.
- \b \p phase : Phase Based Method onset detection function
+ \b \p phase : Phase Based Method onset detection function
Juan-Pablo Bello, Mike P. Davies, and Mark B. Sandler. Phase-based note onset
detection for music signals. In Proceedings of the IEEE International
Conference on Acoustics Speech and Signal Processing, pages 441444,
Hong-Kong, 2003.
- \b \p specdiff : Spectral difference method onset detection function
+ \b \p specdiff : Spectral difference method onset detection function
Jonhatan Foote and Shingo Uchihashi. The beat spectrum: a new approach to
rhythm analysis. In IEEE International Conference on Multimedia and Expo
(ICME 2001), pages 881884, Tokyo, Japan, August 2001.
- \b \p kl : Kullback-Liebler onset detection function
-
+ \b \p kl : Kullback-Liebler onset detection function
+
Stephen Hainsworth and Malcom Macleod. Onset detection in music audio
signals. In Proceedings of the International Computer Music Conference
(ICMC), Singapore, 2003.
- \b \p mkl : Modified Kullback-Liebler onset detection function
+ \b \p mkl : Modified Kullback-Liebler onset detection function
Paul Brossier, ``Automatic annotation of musical audio for interactive
systems'', Chapter 2, Temporal segmentation, PhD thesis, Centre for Digital
music, Queen Mary University of London, London, UK, 2006.
- \b \p specflux : Spectral Flux
+ \b \p specflux : Spectral Flux
Simon Dixon, Onset Detection Revisited, in ``Proceedings of the 9th
International Conference on Digital Audio Effects'' (DAFx-06), Montreal,
- Canada, 2006.
+ Canada, 2006.
\subsection shapedesc Spectral shape descriptors
Project Report 2004 (<a
href="http://www.ircam.fr/anasyn/peeters/ARTICLES/Peeters_2003_cuidadoaudiofeatures.pdf">pdf</a>)
- \b \p centroid : Spectral centroid
+ \b \p centroid : Spectral centroid
The spectral centroid represents the barycenter of the spectrum.
\e Note: This function returns the result in bin. To get the spectral
- centroid in Hz, aubio_bintofreq() should be used.
+ centroid in Hz, aubio_bintofreq() should be used.
- \b \p spread : Spectral spread
+ \b \p spread : Spectral spread
The spectral spread is the variance of the spectral distribution around its
centroid.
See also <a href="http://en.wikipedia.org/wiki/Kurtosis">Kurtosis</a> on
Wikipedia.
- \b \p slope : Spectral slope
+ \b \p slope : Spectral slope
The spectral slope represents decreasing rate of the spectral amplitude,
computed using a linear regression.
\b \p decrease : Spectral decrease
- The spectral decrease is another representation of the decreasing rate,
+ The spectral decrease is another representation of the decreasing rate,
based on perceptual criteria.
\b \p rolloff : Spectral roll-off
*/
-#ifndef ONSETDETECTION_H
-#define ONSETDETECTION_H
+#ifndef _AUBIO_SPECDESC_H
+#define _AUBIO_SPECDESC_H
#ifdef __cplusplus
extern "C" {
/** spectral description structure */
typedef struct _aubio_specdesc_t aubio_specdesc_t;
-/** execute spectral description function on a spectral frame
+/** execute spectral description function on a spectral frame
Generic function to compute spectral detescription.
-
+
\param o spectral description object as returned by new_aubio_specdesc()
\param fftgrain input signal spectrum as computed by aubio_pvoc_do
\param desc output vector (one sample long, to send to the peak picking)
void aubio_specdesc_do (aubio_specdesc_t * o, cvec_t * fftgrain,
fvec_t * desc);
-/** creation of a spectral description object
+/** creation of a spectral description object
\param method spectral description method
\param buf_size length of the input spectrum frame
*/
aubio_specdesc_t *new_aubio_specdesc (char_t * method, uint_t buf_size);
-/** deletion of a spectral descriptor
+/** deletion of a spectral descriptor
\param o spectral descriptor object as returned by new_aubio_specdesc()
}
#endif
-#endif /* ONSETDETECTION_H */
+#endif /* _AUBIO_SPECDESC_H */