ref: 95ff046c698156f21e2ca0d1d8a02c23ab76969f
dir: /doc/aubiopitch.txt/
NAME
aubiopitch - a command line tool to extract musical pitch
SYNOPSIS
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]
DESCRIPTION
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.
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. 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.
PITCH METHODS
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)).
SEE ALSO
aubioonset(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.