This is the command aubiopitch that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
PROGRAM:
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]
[-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.
-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 developped 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.
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