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Man Pages


Manual Reference Pages  -  AUBIOONSET (1)

NAME

aubioonset - a command line tool to extract musical onset times

CONTENTS

Synopsis
Description
Options
Onset Methods
See Also
Author

SYNOPSIS



aubioonset source aubioonset [[-i] source] [-o sink] [-r rate] [-B win] [-H hop] [-O method] [-t thres] [-s sil] [-m] [-f] [-j] [-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. Typical values are typically within 0.001 and 0.900. Defaults to 0.1. Lower threshold values imply more onsets detected. Try 0.5 in case of over-detections. Defaults to 0.3.
-s, --silence sil Set the silence threshold, in dB, under which the pitch 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.
-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.
-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.

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aubio 0.4.2 AUBIOONSET (1) 03 April 2016

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