aubiopitch man page on DragonFly

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AUBIOPITCH(1)		      aubio User's manual		 AUBIOPITCH(1)

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 com‐
	      pressed 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 con‐
	      troller 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  implementa‐
       tion,  a	 Fourier transform is used to compute a tapered square differ‐
       ence 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.

SEE ALSO
       aubioonset(1),  aubiotrack(1),  aubionotes(1),  aubioquiet(1),  aubiom‐
       fcc(1), and aubiocut(1).

AUTHOR
       This manual page was written by Paul Brossier <piem@aubio.org>. Permis‐
       sion  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.

aubio 0.4.2		       17 February 2016			 AUBIOPITCH(1)
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