aubiopitch - a command line tool to extract musical pitch
aubiopitch source
aubiopitch [[-i] source] [-o sink]
[ -r rate] [-B win] [-H hop]
[ -p method] [-u unit] [-l thres]
[ -T time-format]
[ -s sil] [-f]
[ -v] [-h] [-j]
aubiopitch attempts to detect the pitch, the perceived height of a
musical note.
When started with an input
source (
-i/
--input), the
detected pitch are printed on the console, prefixed by a timestamp in seconds.
If no pitch candidate is found, the output is 0.
When started without an input
source, or with the jack option
(
-j/
--jack),
aubiopitch starts in jack mode.
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. The detected frequency is played at the detected
loudness.
- -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
2048.
- -H, --hopsize hop
- The number of samples between two consecutive analysis.
Defaults to 256.
- -p, --pitch method
- The pitch detection method to use. See PITCH METHODS
below. Defaults to 'default'.
- -u, --pitch-unit
unit
- The unit to be used to print frequencies. Possible
values include midi, bin, cent, and Hz. Defaults to 'Hz'.
- -l, --pitch-tolerance
thres
- Set the tolerance for the pitch detection algorithm.
Typical values range between 0.2 and 0.9. Pitch candidates found with a
confidence less than this threshold will not be selected. The higher the
threshold, the more confidence in the candidates. Defaults to unset.
- -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.
- -h, --help
- Print a short help message and exit.
- -v, --verbose
- Be verbose.
Available methods are:
- default
- use the default method
Currently, the default
method is set to yinfft.
- schmitt
- Schmitt trigger
This pitch extraction
method implements a Schmitt trigger to estimate the
period of a signal. It is computationally very inexpensive, but also very
sensitive to noise.
- fcomb
- a fast harmonic comb filter
This pitch extraction
method implements a fast harmonic comb filter to
determine the fundamental frequency of a harmonic sound.
- mcomb
- multiple-comb filter
This fundamental frequency estimation algorithm implements spectral flattening,
multi-comb filtering and peak histogramming.
- specacf
- Spectral auto-correlation function
- yin
- YIN algorithm
This algorithm was developed by A. de Cheveigne and H. Kawahara and was first
published in:
De Cheveigné, A., Kawahara, H. (2002) "YIN, a fundamental frequency
estimator for speech and music", J. Acoust. Soc. Am. 111, 1917-1930.
- yinfft
- Yinfft algorithm
This algorithm was derived from the YIN algorithm. In this implementation, a
Fourier transform is used to compute a tapered square difference function,
which allows spectral weighting. Because the difference function is tapered,
the selection of the period is simplified.
Paul Brossier, Automatic annotation of musical audio for interactive systems,
Chapter 3, Pitch Analysis, PhD thesis, Centre for Digital music, Queen Mary
University of London, London, UK, 2006.
- yinfast
- YIN algorithm (accelerated)
An optimised implementation of the YIN algorithm, yielding results identical to
the original YIN algorithm, while reducing its computational cost from
O(n^2) to
O(n
log(n)).
aubioonset(1),
aubiotrack(1),
aubionotes(1),
aubioquiet(1),
aubiomfcc(1), and
aubiocut(1).
This manual page was written by Paul Brossier <
[email protected]>. 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.