1AUBIOONSET(1) aubio User's manual AUBIOONSET(1)
2
6 aubioonset - a command line tool to extract musical onset times
7
9 aubioonset source
10 aubioonset [[-i] source] [-o sink]
11 [-r rate] [-B win] [-H hop]
12 [-O method] [-t thres]
13 [-T time-format]
14 [-s sil] [-m] [-f]
15 [-j] [-N miditap-note] [-V miditap-velo]
16 [-v] [-h]
17
20 aubioonset attempts to detect onset times, the beginning of discrete
21 sound events, in audio signals.
22 When started with an input source (-i/--input), the detected onset
24 times are given on the console, in seconds.
25 When started without an input source, or with the jack option
27 (-j/--jack), aubioonset starts in jack mode.
28
30 This program follows the usual GNU command line syntax, with long op‐
31 tions starting with two dashes (--). A summary of options is included
32 below.
33 -i, --input source
35 Run analysis on this audio file. Most uncompressed and com‐
36 pressed are supported, depending on how aubio was built.
37 -o, --output sink
39 Save results in this file. The file will be created on the model
40 of the input file. Onset times are marked by a short wood-block
41 like sound.
42 -r, --samplerate rate
44 Fetch the input source, resampled at the given sampling rate.
45 The rate should be specified in Hertz as an integer. If 0, the
46 sampling rate of the original source will be used. Defaults to
47 0.
48 -B, --bufsize win
50 The size of the buffer to analyze, that is the length of the
51 window used for spectral and temporal computations. Defaults to
52 512.
53 -H, --hopsize hop
55 The number of samples between two consecutive analysis. De‐
56 faults to 256.
57 -O, --onset method
59 The onset detection method to use. See ONSET METHODS below. De‐
60 faults to 'default'.
61 -t, --onset-threshold thres
63 Set the threshold value for the onset peak picking. Values are
64 typically in the range [0.001, 0.900]. Lower threshold values
65 imply more onsets detected. Increasing this threshold should re‐
66 duce the number of incorrect detections. Defaults to 0.3.
67 -M, --minioi value
69 Set the minimum inter-onset interval, in seconds, the shortest
70 interval between two consecutive onsets. Defaults to 0.020
71 -s, --silence sil
73 Set the silence threshold, in dB, under which the onset will not
74 be detected. A value of -20.0 would eliminate most onsets but
75 the loudest ones. A value of -90.0 would select all onsets. De‐
76 faults to -90.0.
77 -T, --timeformat format
79 Set time format (samples, ms, seconds). Defaults to seconds.
80 -m, --mix-input
82 Mix source signal to the output signal before writing to sink.
83 -f, --force-overwrite
85 Overwrite output file if it already exists.
86 -j, --jack
88 Use Jack input/output. You will need a Jack connection con‐
89 troller to feed aubio some signal and listen to its output.
90 -N, --miditap-note
92 Override note value for MIDI tap. Defaults to 69.
93 -V, --miditap-velop
95 Override velocity value for MIDI tap. Defaults to 65.
96 -h, --help
98 Print a short help message and exit.
99 -v, --verbose
101 Be verbose.
102
104 Available methods are:
105 default
107 Default distance, currently hfc
108 Default: 'default' (currently set to hfc)
110 energy Energy based distance
112 This function calculates the local energy of the input spectral frame.
114 hfc High-Frequency content
116 This method computes the High Frequency Content (HFC) of the input
118 spectral frame. The resulting function is efficient at detecting per‐
119 cussive onsets.
120 Paul Masri. Computer modeling of Sound for Transformation and Synthesis
122 of Musical Signal. PhD dissertation, University of Bristol, UK, 1996.
123 complex
125 Complex domain onset detection function
126 This function uses information both in frequency and in phase to deter‐
128 mine changes in the spectral content that might correspond to musical
129 onsets. It is best suited for complex signals such as polyphonic
130 recordings.
131 Christopher Duxbury, Mike E. Davies, and Mark B. Sandler.
133 Complex domain onset detection for musical signals. In Proceed‐
134 ings of the Digital Audio Effects Conference, DAFx-03, pages
135 90-93, London, UK, 2003.
136 phase Phase based onset detection function
138 This function uses information both in frequency and in phase to deter‐
140 mine changes in the spectral content that might correspond to musical
141 onsets. It is best suited for complex signals such as polyphonic
142 recordings.
143 Juan-Pablo Bello, Mike P. Davies, and Mark B. Sandler.
145 Phase-based note onset detection for music signals. In Proceed‐
146 ings of the IEEE International Conference on Acoustics Speech
147 and Signal Processing, pages 441444, Hong-Kong, 2003.
148 specdiff
150 Spectral difference onset detection function
151 Jonhatan Foote and Shingo Uchihashi. The beat spectrum: a new approach
153 to rhythm analysis. In IEEE International Conference on Multimedia and
154 Expo (ICME 2001), pages 881884, Tokyo, Japan, August 2001.
155 kl Kulback-Liebler onset detection function
157 Stephen Hainsworth and Malcom Macleod. Onset detection in music audio
159 signals. In Proceedings of the International Computer Music Conference
160 (ICMC), Singapore, 2003.
161 mkl Modified Kulback-Liebler onset detection function
163 Paul Brossier, ``Automatic annotation of musical audio for interactive
165 systems'', Chapter 2, Temporal segmentation, PhD thesis, Centre for
166 Digital music, Queen Mary University of London, London, UK, 2006.
167 specflux
169 Spectral flux
170 Simon Dixon, Onset Detection Revisited, in ``Proceedings of the 9th In‐
172 ternational Conference on Digital Audio Effects'' (DAFx-06), Montreal,
173 Canada, 2006.
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176 aubiopitch(1), aubiotrack(1), aubionotes(1), aubioquiet(1), aubiom‐
177 fcc(1), and aubiocut(1).
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180 This manual page was written by Paul Brossier <piem@aubio.org>. Permis‐
181 sion is granted to copy, distribute and/or modify this document under
182 the terms of the GNU General Public License as published by the Free
183 Software Foundation, either version 3 of the License, or (at your op‐
184 tion) any later version.
185aubio 0.4.9 20 July 2022 AUBIOONSET(1)