Changeset b9c3cd2 for src/spectral/specdesc.h
 Timestamp:
 Nov 4, 2009, 11:52:00 PM (11 years ago)
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 feature/autosink, feature/constantq, feature/pitchshift, feature/pydocstrings, feature/timestretch, master, pitchshift, sampler, timestretch, yinfft+
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 998d4d6
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 349e455
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src/spectral/specdesc.h
r349e455 rb9c3cd2 27 27 buffer and per channel (stored in a vector of size [channels]x[1]). 28 28 29 The following spectral description methods are available: 29 A list of the spectral description methods currently available follows. 30 31 \section onsetdesc Onset detection functions 32 33 These functions are designed to raise at notes attacks in music signals. 30 34 31 35 \b \p energy : Energy based onset detection function … … 77 81 International Conference on Digital Audio Effects'' (DAFx06), Montreal, 78 82 Canada, 2006. 79 83 84 \section shapedesc Spectral shape descriptors 85 86 The following descriptors are described in: 87 88 Geoffroy Peeters, <i>A large set of audio features for sound description 89 (similarity and classification) in the CUIDADO project</i>, CUIDADO I.S.T. 90 Project Report 2004 (<a 91 href="http://www.ircam.fr/anasyn/peeters/ARTICLES/Peeters_2003_cuidadoaudiofeatures.pdf">pdf</a>) 92 93 \b \p centroid : Spectral centroid 94 95 The spectral centroid represents the barycenter of the spectrum. 96 97 \e Note: This function returns the result in bin. To get the spectral 98 centroid in Hz, aubio_bintofreq() should be used. 99 100 \b \p spread : Spectral spread 101 102 The spectral spread is the variance of the spectral distribution around its 103 centroid. 104 105 See also <a href="http://en.wikipedia.org/wiki/Standard_deviation">Standard 106 deviation</a> on Wikipedia. 107 108 \b \p skewness : Spectral skewness 109 110 Similarly, the skewness is computed from the third order moment of the 111 spectrum. A negative skewness indicates more energy on the lower part of the 112 spectrum. A positive skewness indicates more energy on the high frequency of 113 the spectrum. 114 115 See also <a href="http://en.wikipedia.org/wiki/Skewness">Skewness</a> on 116 Wikipedia. 117 118 \b \p kurtosis : Spectral kurtosis 119 120 The kurtosis is a measure of the flatness of the spectrum, computed from the 121 fourth order moment. 122 123 See also <a href="http://en.wikipedia.org/wiki/Kurtosis">Kurtosis</a> on 124 Wikipedia. 125 126 \b \p decrease : Spectral slope 127 128 The spectral slope represents decreasing rate of the spectral amplitude, 129 computed using a linear regression. 130 131 \b \p decrease : Spectral decrease 132 133 The spectral decrease is another representation of the decreasing rate, 134 based on perceptual criteria. 135 136 \b \p rolloff : Spectral rolloff 137 138 This function returns the bin number below which 95% of the spectrum energy 139 is found. 140 80 141 */ 81 142
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