Add in tree aubio
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deps/aubio/src/pitch/pitch.h
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deps/aubio/src/pitch/pitch.h
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/*
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Copyright (C) 2003-2013 Paul Brossier <piem@aubio.org>
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This file is part of aubio.
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aubio is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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aubio is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with aubio. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef AUBIO_PITCH_H
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#define AUBIO_PITCH_H
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#ifdef __cplusplus
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extern "C" {
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#endif
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/** \file
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Pitch detection object
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This file creates the objects required for the computation of the selected
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pitch detection algorithm and output the results, in midi note or Hz.
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\section pitch Pitch detection methods
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A list of the pitch detection methods currently available follows.
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\b \p default : use the default method
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Currently, the default method is set to \p yinfft .
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\b \p schmitt : Schmitt trigger
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This pitch extraction method implements a Schmitt trigger to estimate the
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period of a signal.
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This file was derived from the tuneit project, written by Mario Lang to
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detect the fundamental frequency of a sound.
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See http://delysid.org/tuneit.html
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\b \p fcomb : a fast harmonic comb filter
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This pitch extraction method implements a fast harmonic comb filter to
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determine the fundamental frequency of a harmonic sound.
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This file was derived from the tuneit project, written by Mario Lang to
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detect the fundamental frequency of a sound.
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See http://delysid.org/tuneit.html
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\b \p mcomb : multiple-comb filter
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This fundamental frequency estimation algorithm implements spectral
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flattening, multi-comb filtering and peak histogramming.
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This method was designed by Juan P. Bello and described in:
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Juan-Pablo Bello. ``Towards the Automated Analysis of Simple Polyphonic
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Music''. PhD thesis, Centre for Digital Music, Queen Mary University of
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London, London, UK, 2003.
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\b \p yin : YIN algorithm
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This algorithm was developed by A. de Cheveigne and H. Kawahara and
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published in:
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De Cheveigné, A., Kawahara, H. (2002) "YIN, a fundamental frequency
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estimator for speech and music", J. Acoust. Soc. Am. 111, 1917-1930.
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see http://recherche.ircam.fr/equipes/pcm/pub/people/cheveign.html
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\b \p yinfast : Yinfast algorithm
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This algorithm is equivalent to the YIN algorithm, but computed in the
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spectral domain for efficiency. See also `python/demos/demo_yin_compare.py`.
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\b \p yinfft : Yinfft algorithm
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This algorithm was derived from the YIN algorithm. In this implementation, a
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Fourier transform is used to compute a tapered square difference function,
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which allows spectral weighting. Because the difference function is tapered,
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the selection of the period is simplified.
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Paul Brossier, [Automatic annotation of musical audio for interactive
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systems](http://aubio.org/phd/), Chapter 3, Pitch Analysis, PhD thesis,
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Centre for Digital music, Queen Mary University of London, London, UK, 2006.
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\example pitch/test-pitch.c
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\example examples/aubiopitch.c
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*/
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/** pitch detection object */
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typedef struct _aubio_pitch_t aubio_pitch_t;
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/** execute pitch detection on an input signal frame
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\param o pitch detection object as returned by new_aubio_pitch()
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\param in input signal of size [hop_size]
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\param out output pitch candidates of size [1]
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*/
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void aubio_pitch_do (aubio_pitch_t * o, const fvec_t * in, fvec_t * out);
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/** change yin or yinfft tolerance threshold
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\param o pitch detection object as returned by new_aubio_pitch()
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\param tol tolerance default is 0.15 for yin and 0.85 for yinfft
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*/
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uint_t aubio_pitch_set_tolerance (aubio_pitch_t * o, smpl_t tol);
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/** get yin or yinfft tolerance threshold
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\param o pitch detection object as returned by new_aubio_pitch()
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\return tolerance (default is 0.15 for yin and 0.85 for yinfft)
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*/
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smpl_t aubio_pitch_get_tolerance (aubio_pitch_t * o);
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/** deletion of the pitch detection object
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\param o pitch detection object as returned by new_aubio_pitch()
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*/
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void del_aubio_pitch (aubio_pitch_t * o);
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/** creation of the pitch detection object
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\param method set pitch detection algorithm
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\param buf_size size of the input buffer to analyse
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\param hop_size step size between two consecutive analysis instant
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\param samplerate sampling rate of the signal
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\return newly created ::aubio_pitch_t
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*/
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aubio_pitch_t *new_aubio_pitch (const char_t * method,
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uint_t buf_size, uint_t hop_size, uint_t samplerate);
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/** set the output unit of the pitch detection object
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\param o pitch detection object as returned by new_aubio_pitch()
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\param mode set pitch units for output
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mode can be one of "Hz", "midi", "cent", or "bin". Defaults to "Hz".
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\return 0 if successfull, non-zero otherwise
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*/
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uint_t aubio_pitch_set_unit (aubio_pitch_t * o, const char_t * mode);
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/** set the silence threshold of the pitch detection object
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\param o pitch detection object as returned by new_aubio_pitch()
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\param silence level threshold under which pitch should be ignored, in dB
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\return 0 if successfull, non-zero otherwise
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*/
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uint_t aubio_pitch_set_silence (aubio_pitch_t * o, smpl_t silence);
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/** set the silence threshold of the pitch detection object
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\param o pitch detection object as returned by ::new_aubio_pitch()
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\return level threshold under which pitch should be ignored, in dB
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*/
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smpl_t aubio_pitch_get_silence (aubio_pitch_t * o);
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/** get the current confidence
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\param o pitch detection object as returned by new_aubio_pitch()
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\return the current confidence of the pitch algorithm
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*/
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smpl_t aubio_pitch_get_confidence (aubio_pitch_t * o);
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#ifdef __cplusplus
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}
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#endif
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#endif /* AUBIO_PITCH_H */
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