ref: 88e8f5293e03e981dae50e125cbdf4bd9048cf27
dir: /doc/aubioonset.txt/
NAME
aubioonset - a command line tool to extract musical onset times
SYNOPSIS
aubioonset source
aubioonset [[-i] source] [-o sink]
[-r rate] [-B win] [-H hop]
[-O method] [-t thres]
[-T time-format]
[-s sil] [-m] [-f]
[-j] [-N miditap-note] [-V miditap-velo]
[-v] [-h]
DESCRIPTION
aubioonset attempts to detect onset times, the beginning of discrete sound
events, in audio signals.
When started with an input source (-i/--input), the detected onset times are
given on the console, in seconds.
When started without an input source, or with the jack option (-j/--jack),
aubioonset starts in jack mode.
OPTIONS
This program follows the usual GNU command line syntax, with long options
starting with two dashes (--). A summary of options is included below.
-i, --input source Run analysis on this audio file. Most uncompressed and
compressed are supported, depending on how aubio was built.
-o, --output sink Save results in this file. The file will be created on
the model of the input file. Onset times are marked by a short wood-block
like sound.
-r, --samplerate rate Fetch the input source, resampled at the given
sampling rate. The rate should be specified in Hertz as an integer. If 0,
the sampling rate of the original source will be used. Defaults to 0.
-B, --bufsize win The size of the buffer to analyze, that is the length
of the window used for spectral and temporal computations. Defaults to 512.
-H, --hopsize hop The number of samples between two consecutive analysis.
Defaults to 256.
-O, --onset method The onset detection method to use. See ONSET METHODS
below. Defaults to 'default'.
-t, --onset-threshold thres Set the threshold value for the onset peak
picking. Values are typically in the range [0.001, 0.900]. Lower threshold
values imply more onsets detected. Increasing this threshold should reduce
the number of incorrect detections. Defaults to 0.3.
-M, --minioi value Set the minimum inter-onset interval, in seconds, the
shortest interval between two consecutive onsets. Defaults to 0.020
-s, --silence sil Set the silence threshold, in dB, under which the onset
will not be detected. A value of -20.0 would eliminate most onsets but the
loudest ones. A value of -90.0 would select all onsets. Defaults to -90.0.
-T, --timeformat format Set time format (samples, ms, seconds). Defaults to
seconds.
-m, --mix-input Mix source signal to the output signal before writing to
sink.
-f, --force-overwrite Overwrite output file if it already exists.
-j, --jack Use Jack input/output. You will need a Jack connection
controller to feed aubio some signal and listen to its output.
-N, --miditap-note Override note value for MIDI tap. Defaults to 69.
-V, --miditap-velop Override velocity value for MIDI tap. Defaults to 65.
-h, --help Print a short help message and exit.
-v, --verbose Be verbose.
ONSET METHODS
Available methods are:
default Default distance, currently hfc
Default: 'default' (currently set to hfc)
energy Energy based distance
This function calculates the local energy of the input spectral frame.
hfc High-Frequency content
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.
complex Complex domain onset detection function
This function uses information both in frequency and in phase to determine
changes in the spectral content that might correspond to musical onsets.
It is best suited for complex signals such as polyphonic recordings.
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.
phase Phase based onset detection function
This function uses information both in frequency and in phase to determine
changes in the spectral content that might correspond to musical onsets. It
is best suited for complex signals such as polyphonic recordings.
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.
specdiff Spectral difference 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.
kl Kulback-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.
mkl Modified Kulback-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.
specflux Spectral flux
Simon Dixon, Onset Detection Revisited, in ``Proceedings of the 9th
International Conference on Digital Audio Effects'' (DAFx-06), Montreal,
Canada, 2006.
SEE ALSO
aubiopitch(1),
aubiotrack(1),
aubionotes(1),
aubioquiet(1),
aubiomfcc(1),
and
aubiocut(1).
AUTHOR
This manual page was written by Paul Brossier <piem@aubio.org>. Permission is
granted to copy, distribute and/or modify this document under the terms of
the GNU General Public License as published by the Free Software Foundation,
either version 3 of the License, or (at your option) any later version.