Provided by: aubio-tools_0.4.9-2_amd64 bug


       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

       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:

              use the default method

       Currently, the default method is set to yinfft.

              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.

              Spectral auto-correlation function

       yin    YIN algorithm

       This algorithm was developed by A. de Cheveigne and H. Kawahara and  was  first  published

       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

       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.

              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 <>. 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.