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github | rodrigo-garcia-leon/thesis-matlab-master | estimateCalibrationCoefficientDLM.m | .m | thesis-matlab-master/tb_PsySound32/Framework/utils/estimateCalibrationCoefficientDLM.m | 4,441 | utf_8 | 6e3b63e99724595ba778b1f4ebce9de7 | function [calCoeff,RMS]=estimateCalibrationCoefficientDLM(calFileHandle,dBSPL)
% author : Matt Flax <flatmax @ http://www.flatmax.org> : Matt Flax is flatmax
% Matt Flax @ http://www.flatmaxstudios.com
% March. 2007 : For the psysound.org project - a psychoacoustical analysis
% package.
% ... |
github | rodrigo-garcia-leon/thesis-matlab-master | readData.m | .m | thesis-matlab-master/tb_PsySound32/Framework/utils/readData.m | 8,539 | utf_8 | 91ae43dc0951e60f0f09c5e3a51043c9 | function [fileHandle, done] = readData(varargin)
% READDATA Read Audio file data
% FILEHANDLE = READDATA with no arguments will prompt the user
% to select a file from the list of all supported types, converts
% it to a WAV file and writes to a temp location
%
% FILEHANDLE = READDATA(FILENAME) initialises ... |
github | rodrigo-garcia-leon/thesis-matlab-master | testanalysers.m | .m | thesis-matlab-master/tb_PsySound32/Framework/utils/test/testanalysers.m | 3,384 | utf_8 | 8c6e7c2d73f1e0a3b98bafe87c50a0b9 | function testanalysers(filename)
% TESTANALYSERS
%
% work through each output dataobject performing a few simple tests to
% ensure each of them make sense.
% Get list of variables in mat-file
variables = whos('-file', filename);
% load the file
load(filename);
for i = 1:length(variables)-1
cmd = strcat('get(' , v... |
github | rodrigo-garcia-leon/thesis-matlab-master | testcals.m | .m | thesis-matlab-master/tb_PsySound32/Framework/utils/test/testcals.m | 1,929 | utf_8 | 6c53a1b4d203460288d4979ba41d5256 | function testcals(filename, inputLevel)
% TESTCALS
%
% work through each output dataobject performing a few simple tests to
% ensure each of them make sense.
% Get list of variables in mat-file
variables = whos('-file', filename);
% load the file
load(filename);
% dB Level
for i = 1:length(variables)-1
cmd = str... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirattackslope.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirattackslope.m | 2,391 | utf_8 | 480b811e81baacefee9d19dfa75681b4 | function varargout = mirattackslope(orig,varargin)
% a = mirattackslope(x) estimates the average slope of each note attack.
% Optional arguments:
% a = mirattackslope(x,m) specifies a method for slope computation.
% Possible values:
% m = 'Diff': ratio between the magnitude difference at the
% ... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirinharmonicity.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirinharmonicity.m | 3,661 | utf_8 | d398d9221939306b6ace4776fc4a27d0 | function varargout = mirinharmonicity(orig,varargin)
% ih = mirinharmonicity(x) estimates the inharmonicity of x, i.e., the
% amount of partials that are not multiples of the fundamental
% frequency.
% x can be either an audio file, a miraudio or a mirspectrum object.
% WARNING: This function pres... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirtempo.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirtempo.m | 14,161 | utf_8 | 119045579351e84eb745223d1aac702e | function varargout = mirtempo(x,varargin)
% t = mirtempo(x) evaluates the tempo in beats per minute (BPM).
% Optional arguments:
% mirtempo(...,'Total',m) selects not only the best tempo, but the m
% best tempos.
% mirtempo(...,'Frame',l,h) orders a frame decomposition of window
% le... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirplay.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirplay.m | 5,782 | utf_8 | ce5e1e782f92dd4c550ad7bcbb3bfd6d | function varargout = mirplay(a,varargin)
% mirplay(a) plays audio signal, envelope, or pitches.
% If a is an envelope, what is actually played is a white noise of
% same envelope.
% If a is a mirpitch object, pitches are played using sinusoids.
% Optional arguments:
% mirplay(...,'Channe... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirpeaks.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirpeaks.m | 48,652 | utf_8 | b38274c573521ed6f7f15156055ad9b5 | function varargout = mirpeaks(orig,varargin)
% p = mirpeaks(x) detect peaks in x.
% Optional argument:
% mirpeaks(...,'Total',m): only the m highest peaks are selected.
% If m=Inf, no limitation of number of peaks.
% Default value: m = Inf
% mirpeaks(...,'Order',o): specifies the... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirroughness.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirroughness.m | 3,390 | utf_8 | 69372991411816298ac0701ed59a976d | function varargout = mirroughness(x,varargin)
% r = mirroughness(x) calculates the roughness, or sensory dissonance,
% due to beating phenomenon between close frequency peaks.
% The frequency components are supposed to remain sufficiently
% constant throughout each frame of each audio file... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirstd.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirstd.m | 2,348 | utf_8 | bd448049bf264e4092658cccfabdf692 | function varargout = mirstd(f,varargin)
% m = mirstd(f) returns the standard deviation along frames of the feature f
%
% f can be a structure array composed of features. In this case,
% m will be structured the same way.
if isa(f,'mirstruct')
data = get(f,'Data');
for fi = 1:length(data)
data{f... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirfeatures.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirfeatures.m | 4,462 | utf_8 | 432d47bb3fbc0b4e9a51eff6d98199e2 | function r = mirfeatures(x,varargin)
% f = mirfeatures(x) computes a large set of features from one or several
% audio files. x can be either the name of an audio file, or the
% 'Folder' keyword.
% mirfeatures(...,'Stat') returns the statistics of the features instead
% of the complete features th... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirfunction.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirfunction.m | 7,063 | utf_8 | bbe417d16b478a7f8a4a029b27aa0fd7 | function o = mirfunction(method,x,varg,nout,specif,init,main)
% Meta function called by all MIRtoolbox functions.
% Integrates the function into the general flowchart
% and eventually launches the "mireval" evaluation process.
% Here are the successive steps in the following code:
% - If the input is an audio filen... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirframe.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirframe.m | 10,327 | utf_8 | 027dbbaf786a5255fbe0e09b0e971306 | function [f x] = mirframe(x,varargin)
% f = mirframe(x) creates the frame decomposition of the audio signal x.
% (x can be a file name as well.)
% Optional arguments:
% mirframe(x,'Length',w,wu):
% w is the length of the window in seconds (default: .05 seconds)
% u is the unit, eithe... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirexport.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirexport.m | 11,058 | utf_8 | 71a9603fd38572ca961729b772631925 | function m = mirexport(f,varargin)
% mirexport(filename,...) exports statistical information related to
% diverse data into a text file called filename.
% mirexport('Workspace',...) instead directly output the statistical
% information in a structure array saved in the Matlab workspace.
% This s... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirrms.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirrms.m | 1,791 | utf_8 | 33118c56ce8e721c7b7f60d59dd2961d | function varargout = mirrms(x,varargin)
% e = mirrms(x) calculates the root mean square energy.
% Optional arguments:
% mirrms(...,'Frame') computes the temporal evolution of the energy.
% mirrms(...,'Root',0) does not apply the root operation to the mean
% square energy.
normal.key =... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirpulseclarity.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirpulseclarity.m | 14,239 | utf_8 | e4b266f4cd12bfbcc96054ae42f926e4 | function varargout = mirpulseclarity(orig,varargin)
% r = mirpulseclarity(x) estimates the rhythmic clarity, indicating the
% strength of the beats estimated by the mirtempo function.
% Optional arguments:
% mirpulseclarity(...,s): specifies a strategy for pulse clarity
% estimation.
% ... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirflatness.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirflatness.m | 1,514 | utf_8 | 5228c17ae6f4e0a0e9a832714b4dfd47 | function varargout = mirflatness(orig,varargin)
% f = mirflatness(x) calculates the flatness of x, which can be either:
% - a spectrum (spectral flatness),
% - an envelope (temporal flatness), or
% - any histogram.
varargout = mirfunction(@mirflatness,orig,varargin,nargout,struct,@init,@main);
f... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirhcdf.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirhcdf.m | 756 | utf_8 | 83f037cac2a2562fb1a64b60f5826078 | function varargout = mirhcdf(orig,varargin)
% df = mirhcdf(x) calculates the Harmonic Change Detection Function
% related to x.
%
% C. A. Harte and M. B. Sandler, Detecting harmonic change in musical
% audio, in Proceedings of Audio and Music Computing for Multimedia
% Workshop, Santa Barbara, CA, 2006.
s... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirrolloff.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirrolloff.m | 1,900 | utf_8 | 5d51c7714eb15df02003ba9b419edc27 | function varargout = mirrolloff(x,varargin)
% r = mirrolloff(s) calculates the spectral roll-off in Hz.
% Optional arguments:
% r = mirrolloff(s,'Threshold',p) specifies the energy threshold in
% percentage. (Default: .85)
% p can be either a value between 0 and 1. But if p exceeds 1, it
% ... |
github | rodrigo-garcia-leon/thesis-matlab-master | mp3write.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mp3write.m | 4,870 | utf_8 | ed9f8770422e95bc286ccb1f58acfe92 | function mp3write(D,SR,NBITS,FILE,OPTIONS)
% MP3WRITE Write MP3 file by use of external binary
% MP3WRITE(Y,FS,NBITS,FILE) writes waveform data Y to mp3-encoded
% file FILE at sampling rate FS using bitdepth NBITS.
% The syntax exactly mirrors WAVWRITE. NBITS must be 16.
% MP3WRITE(Y,FS,FILE) assumes N... |
github | rodrigo-garcia-leon/thesis-matlab-master | aiffread.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/aiffread.m | 20,801 | utf_8 | 9f46fe07573112dfe1958161a768a9c9 | function [data,Fs,nBits,formChunk] = aiffread(filePath,indexRange)
%AIFFREAD Read AIFF (Audio Interchange File Format) sound file.
% Y = AIFFREAD(FILE) reads an AIFF file specified by the string FILE,
% returning the sampled data in Y. The ".aif" extension is appended if no
% extension is given.
%
% [Y,FS,NBI... |
github | rodrigo-garcia-leon/thesis-matlab-master | mireval.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mireval.m | 13,341 | utf_8 | 0a7bf01377c125343d54e3c974c4664f | function v = mireval(d,file,single,export)
% mireval(d,filename) applies the mirdesign object d to the audio file
% named filename.
% mireval(d,'Folder') applied the mirdesign object to each audio files in
% the current directory.
% mireval(d,'Folders') applied the mirdesign object recursively to the
... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirmode.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirmode.m | 1,198 | utf_8 | bd81e52e237fecf41945466d4d8b4f8f | function varargout = mirmode(x,varargin)
% m = mirmode(a) estimates the mode. A value of 0 indicates a complete
% incertainty, whereas a positive value indicates a dominance of
% major mode and a negative value indicates a dominance of minor mode.
% Optional arguments:
% mirmode(a,s) specifies a strat... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirstat.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirstat.m | 8,336 | utf_8 | b095df8141f86e3ba1f19c9a49f92ef4 | function varargout = mirstat(f,varargin)
% stat = mirstat(f) returns basic statistics of the feature f as a
% structure array stat such that:
% stat.Mean is the mean of the feature;
% stat.Std is the standard deviation;
% stat.Slope is the linear slope of the curve;
% stat.PeriodFreq is the fr... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirlength.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirlength.m | 1,393 | utf_8 | 21e35d00ed2dbfaa0e4a83a2165a1f2f | function varargout = mirlength(orig,varargin)
% mirlength(x) indicates the temporal length of x.
% If x is decomposed into frames,
% mirlength(x) indicates the frame length, whereas
% mirlength(x,'Global') indicates the total temporal spanning of the
% frame decomposition.
% Optional argum... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirzerocross.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirzerocross.m | 2,348 | utf_8 | c52f764fa050e3a8a07a6de0c513c1d0 | function varargout = mirzerocross(orig,varargin)
% mirzeroscross(x) computes the sign-changes rate along the signal x,
% i.e., how many time the waveform crosses the X-axis. When applied on
% an audio waveform, gives a notion of noise.
% Optional argument:
% mirzerocross(...,'Per',p) precises the ... |
github | rodrigo-garcia-leon/thesis-matlab-master | mp3read.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mp3read.m | 10,042 | utf_8 | b9f324958abafbb448a3a23130894da3 | function [Y,FS,NBITS,OPTS] = mp3read(FILE,N,MONO,DOWNSAMP,DELAY)
% MP3READ Read MP3 audio file via use of external binaries.
% Y = MP3READ(FILE) reads an mp3-encoded audio file into the
% vector Y just like wavread reads a wav-encoded file (one channel
% per column). Extension ".mp3" is added if FILE has ... |
github | rodrigo-garcia-leon/thesis-matlab-master | convolve2.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/convolve2.m | 7,776 | utf_8 | 3946f147a02830e1954206f3fd2e961b | function y = convolve2(x, m, shape, tol)
%CONVOLVE2 Two dimensional convolution.
% Y = CONVOLVE2(X, M) performs the 2-D convolution of matrices X and
% M. If [mx,nx] = size(X) and [mm,nm] = size(M), then size(Y) =
% [mx+mm-1,nx+nm-1]. Values near the boundaries of the output array are
% calculated as if X was s... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirkurtosis.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirkurtosis.m | 1,096 | utf_8 | 3debc7081f6f0832cc47679a514e2327 | function varargout = mirkurtosis(orig,varargin)
% k = mirkurtosis(x) calculates the kurtosis of x, indicating whether
% the curve is peaked or flat relative to a normal distribution.
% x can be either:
% - a spectrum (spectral kurtosis),
% - an envelope (temporal kurtosis), or
% - any histog... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirflux.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirflux.m | 8,439 | utf_8 | 70ff4a74015f80acad498a17b657899e | function varargout = mirflux(orig,varargin)
% f = mirflux(x) measures distance between successive frames.
% First argument:
% If x is a spectrum, this corresponds to spectral flux.
% But the flux of any other data can be computed as well.
% If x is an audio file or audio signal, the spectral flux ... |
github | rodrigo-garcia-leon/thesis-matlab-master | isamir.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/isamir.m | 1,010 | utf_8 | 9284a4ea4a0c048ce4ff9e16c746bbcc | function b = isamir(x,class)
if isempty(x) || isnumeric(x)
b = 0;
return
end
if iscell(x)
x = x{1};
end
if isa(x,class)
b = 1;
return
elseif ischar(x) && strcmpi(class,'miraudio')
b = 1;
return
elseif not(isa(x,'mirdesign'))
b = 0;
return
end
type = get(x,'Type');
if iscell(type)... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirskewness.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirskewness.m | 1,058 | utf_8 | 4825253ee733d88a4d493c7f6d703a1c | function varargout = mirskewness(orig,varargin)
% s = skewness(x) calculates the skewness of x, showing the (lack of)
% symmetry of the curve.
% x can be either:
% - a spectrum (spectral skewness),
% - an envelope (temporal skewness), or
% - any histogram.
varargout = mirfunction(@mirskewn... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirfilterbank.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirfilterbank.m | 9,887 | utf_8 | 77b370bda3c785b7b999cf4ad1213433 | function varargout = mirfilterbank(orig,varargin)
% b = mirfilterbank(x) performs a filterbank decomposition of an audio
% waveform.
% Optional arguments:
% mirfilterbank(...,t) selects a type of filterbank.
% Possible values:
% t = 'Gammatone' (default for audio files).
% ... |
github | rodrigo-garcia-leon/thesis-matlab-master | pluscell.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/pluscell.m | 271 | utf_8 | 4b18198163a886e445d0b3b1f88a2f50 | function varargout = pluscell(x,varargin)
specif.combinechunk = 'Average';
varargout = mirfunction(@pluscell,x,varargin,nargout,specif,@init,@main);
function [x type] = init(x,option)
type = mirtype(a{1});
function y = main(x,option,postoption)
y = plus(x{1},x{2}); |
github | rodrigo-garcia-leon/thesis-matlab-master | mtimescell.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mtimescell.m | 277 | utf_8 | 77d174f26c270bf0a8697dec0f49668e | function varargout = mtimescell(x,varargin)
specif.combinechunk = 'Average';
varargout = mirfunction(@mtimescell,x,varargin,nargout,specif,@init,@main);
function [x type] = init(x,option)
type = mirtype(x{1});
function y = main(x,option,postoption)
y = mtimes(x{1},x{2}); |
github | rodrigo-garcia-leon/thesis-matlab-master | mirbeatspectrum.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirbeatspectrum.m | 2,442 | utf_8 | e46e1587b3515de78fab635331f89a08 | function varargout = mirbeatspectrum(orig,varargin)
% n = mirbeatspectrum(m) evaluates the beat spectrum.
% [n,m] = mirbeatspectrum(m) also return the similarity matrix on which
% the estimation is made.
% Optional argument:
% mirbeatspectrum(...,s) specifies the estimation method.
% Possib... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirsegment.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirsegment.m | 14,959 | utf_8 | 25a435bf2b0973f4fb24cdf35c44c1c3 | function [f,p,m,fe] = mirsegment(x,varargin)
% f = mirsegment(a) segments an audio signal. It can also be the name of an
% audio file or 'Folder', for the analysis of the audio files in the
% current folder. The segmentation of audio signal already decomposed
% into frames is not available for the m... |
github | rodrigo-garcia-leon/thesis-matlab-master | mircentroid.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mircentroid.m | 2,118 | utf_8 | 74377f1661b6a628ef610c7c774f89b7 | function varargout = mircentroid(x,varargin)
% c = mircentroid(x) calculates the centroid (or center of gravity) of x.
% x can be either:
% - a spectrum (spectral centroid),
% - an envelope (temporal centroid)
% - a histogram,
% - or any data. Only the positive ordinates of the data are take... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirbrightness.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirbrightness.m | 1,877 | utf_8 | 760595f164d5043f2469c1ac21019699 | function varargout = mirbrightness(x,varargin)
% b = mirbrightness(s) calculates the spectral brightness, i.e. the amount
% of spectral energy corresponding to frequencies higher than a given
% cut-off threshold.
% Optional arguments:
% b = mirbrightness(s,'CutOff',f) specifies the frequency cut-off
... |
github | rodrigo-garcia-leon/thesis-matlab-master | nthoutput.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/nthoutput.m | 416 | utf_8 | 891acb2b288ea723dca0b6b85e1f72cf | function varargout = nthoutput(orig,varargin)
nth.type = 'Integer';
nth.default = 1;
nth.position = 2;
option.nth = nth;
specif.option = option;
varargout = mirfunction(@nthoutput,orig,varargin,nargout,specif,@init,@main);
function [x type] = init(x,option)
type = mirtype(x);
type = type... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirmap.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirmap.m | 8,890 | utf_8 | 202a1466bc6c2497cf3216be9c7f8cbc | function res = mirmap(predics_ref,ratings_ref,dist,alpha,delta)
% mirmap(predictors_file, ratings_file) performs a statistical mapping
% between ratings associated to a set of audio recordings, and a set of
% variables computed for the same set of audio recordings. It might be
% useful in particular when the set ... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirsum.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirsum.m | 5,236 | utf_8 | 780693702f51b8a0123b5d14471e413d | function varargout = mirsum(orig,varargin)
% s = mirsum(f) sums the envelope of the multi-channel object f.
%
% Optional arguments:
% mirsum(f,'Centered') centers the resulting envelope.
% mirsum(f,'Mean') divides the summation by the number of channels.
% mirsum(f,'Weights')...
c.key = ... |
github | rodrigo-garcia-leon/thesis-matlab-master | mironsets.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mironsets.m | 21,132 | utf_8 | 7871030ff79198d763975fed1ed5ee6a | function varargout = mironsets(x,varargin)
% o = mironsets(x) shows a temporal curve where peaks relate to the
% position of note onset times, and estimates those note onset
% positions.
% Optional arguments:
% mironsets(...,f) selects the strategy for the computation of the
% onset de... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirspread.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirspread.m | 912 | utf_8 | 2a6eb3d3ede8e195d87a485352726c1b | function varargout = mirspread(orig,varargin)
% S = mirspread(x) calculates the spread of x, which can be either:
% - a spectrum (spectral spread),
% - an envelope (temporal spread), or
% - any histogram.
varargout = mirfunction(@mirspread,orig,varargin,nargout,struct,@init,@main);
function [x t... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirread.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirread.m | 3,824 | utf_8 | 1a4970610346eafe5620043690b52880 | function [d,tp,fp,f,l,b,n,ch] = mirread(extract,orig,load,folder,verbose)
% Read the audio file ORIG, at temporal position indicated by EXTRACT. If
% EXTRACT is empty, all the audio file is loaded.
% If LOAD is set to 0, just the meta-data is collected, and the actual
% audio data is not taken into consideratio... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirregularity.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirregularity.m | 3,324 | utf_8 | 70fbd83568c0298bdb4eb4e09a40f8c2 | function varargout = mirregularity(orig,varargin)
% i = mirregularity(x) calculates the irregularity of a spectrum, i.e.,
% the degree of variation of the successive peaks of the spectrum.
% Specification of the definition of irregularity:
% mirregularity(...,'Jensen') is based on (Jensen, 1999),
% ... |
github | rodrigo-garcia-leon/thesis-matlab-master | mireventdensity.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mireventdensity.m | 2,793 | utf_8 | 1947a1a3694af08a36e5b71de6d9bd5f | function varargout = mireventdensity(x,varargin)
% e = mireventdensity(x) estimate the mean frequency of events (i.e., how
% many note onsets per second) in the temporal data x.
% Optional arguments: Option1, Option2
% Tuomas Eerola, 14.08.2008
%
normal.type = 'String';
normal.choice = {'Opti... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirentropy.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirentropy.m | 1,586 | utf_8 | 6a5fa0f39930416e0603593e069c4239 | function varargout = mirentropy(x,varargin)
% h = mirentropy(a) calculates the relative entropy of a.
% (Cf. User's Manual.)
% mirentropy(..., ?Center?) centers the input data before
% transforming it into a probability distribution.
center.key = 'Center';
center.type = 'Boolean';
c... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirnovelty.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirnovelty.m | 5,649 | utf_8 | 2380d09da4f258f3c9ba22b7f855ba7c | function varargout = mirnovelty(orig,varargin)
% n = mirnovelty(m) evaluates the novelty score from a similarity matrix.
% [n,m] = mirnovelty(m) also return the similarity matrix.
% Optional argument:
% mirnovelty(...,'Distance',f) specifies the name of a dissimilarity
% distance function, from t... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirauditory.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirauditory.m | 770 | utf_8 | 9e222a34c1f8d97aef449166d6e18b78 | function varargout = mirauditory(x,varargin)
% Produces the output based on an auditory modelling, of the signal x,
% using a gammatone filterbank.
% Optional argument:
% mirtempo(...,'Filterbank',b) indicates the number of channels in
% the filterbank decomposition.
% Default value: b =... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirlowenergy.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirlowenergy.m | 2,616 | utf_8 | 1a44d6bcf154d129b54a3a03dfc7af28 | function varargout = mirlowenergy(x,varargin)
% p = mirlowenergy(f) computes the percentage of frames showing a RMS
% energy that is lower than a given threshold.
% For instance, for a musical excerpt with some very loud frames and
% lots of silent frames, we would get a high low-energy rate.
% Opt... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirmean.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirmean.m | 2,965 | utf_8 | 8a540a914bff18624cf438305a32db22 | function varargout = mirmean(f,varargin)
% m = mirmean(f) returns the mean along frames of the feature f
%
% f can be a structure array composed of features. In this case,
% m will be structured the same way.
if isa(f,'mirstruct')
data = get(f,'Data');
for fi = 1:length(data)
data{fi} = mirmean... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirattacks.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirattacks.m | 469 | utf_8 | 3bed2578be388cb7cc56cbfedd5565b4 | function varargout = mirattacks(orig,varargin)
% Obsolete function, replaced by mironsets(...,'Attacks',...)
aver.key = 'Smooth';
aver.type = 'Integer';
aver.default = 20;
option.aver = aver;
specif.option = option;
varargout = mirfunction(@mirattacks,orig,varargin,nargout,specif,... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirkey.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/MirToolbox Functions/mirkey.m | 1,998 | utf_8 | 5fe99cbe0e09716f81aedf4ef572a1a1 | function varargout = mirkey(orig,varargin)
% k = mirkey(x) estimates the key.
% Optional argument:
% mirkey(...,'Total',m) selects not only the most probable key, but
% the m most probable keys.
% The other parameter 'Contrast' related to mirpeaks can be specified
% here (see help m... |
github | rodrigo-garcia-leon/thesis-matlab-master | evaleach.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirdesign/evaleach.m | 30,290 | utf_8 | ae05a004e5826ef73c418e85c78144f4 | function [y d2] = evaleach(d,single,name)
% Top-down traversal of the design flowchart, at the beginning of the
% evaluation phase.
% Called by mirfunction, mireval, mirframe and mirsegment.
% This is during that traversal that we check whether a chunk decomposition
% needs to be performed or not, and carry out that ch... |
github | rodrigo-garcia-leon/thesis-matlab-master | plus.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirdesign/plus.m | 159 | utf_8 | 4c83543fc53f3b9d77b3dea756c818b3 | function varargout = plus(a,b)
varargout = mirfunction(@pluscell,{a,b},{},1,struct,@init,@plus);
function [x type] = init(x,option)
type = get(x{1},'Type'); |
github | rodrigo-garcia-leon/thesis-matlab-master | getMir.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirdesign/getMir.m | 3,555 | utf_8 | 18c0494c2cde5500de57c3513d5cc0bd | function varargout = getMir(a,varargin)
% GET Get properties from the MIRdesign object and return the value
if ischar(varargin{1})
switch varargin{1}
case 'Method'
varargout = {a.method};
return
case 'File'
varargout = {a.file};
return
case 'F... |
github | rodrigo-garcia-leon/thesis-matlab-master | mtimes.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirdesign/mtimes.m | 169 | utf_8 | 91a0abb2d0c449aeac1669a109b4cc06 | function varargout = mtimes(a,b)
varargout = mirfunction(@mtimescell,{a,b},{},1,struct,@init,@mtimescell);
function [x type] = init(x,option)
type = get(x{1},'Type'); |
github | rodrigo-garcia-leon/thesis-matlab-master | mirspectrum.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirspectrum/mirspectrum.m | 28,904 | utf_8 | 1f447d4aa6c1ecede40cb40982cd52a9 | function varargout = mirspectrum(orig,varargin)
% s = mirspectrum(x) computes the spectrum of the audio signal x, showing
% the distribution of the energy along the frequencies.
% (x can be the name of an audio file as well.)
% Optional argument:
% mirspectrum(...,'Frame',l,h) computes spectrogram... |
github | rodrigo-garcia-leon/thesis-matlab-master | getDescription.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@AutoCorrelation/getDescription.m | 617 | utf_8 | 5777e371efea5760b0ed66545388df3f |
function cells = getDescription(obj)
% GETDESCRIPTION Returns a text string of the description
cells = {'Performs successive auto-correlations ', ...
'of the input wave.', ...
'Auto-correlations are linear (not circular). ', ...
'Each auto-correlation function is normalised, ', ...
'so results... |
github | rodrigo-garcia-leon/thesis-matlab-master | constructDataObjects.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@AutoCorrelation/constructDataObjects.m | 2,620 | utf_8 | 247e2ef2b1d1e766c7a9d0d0908c81ee | function obj = constructDataObjects(obj, dataBuffer, TimePoints)
% CONSTRUCTDATAOBJECTS Constructs the appropriate data objects
%
% Analogous to assignoutputs
%
% Convenience variables
N = get(obj, 'windowLength');
fs = get(obj, 'fs');
lagsListing = [0:(1/fs):(N/fs)]';
lagsListing = lagsListing(1:ceil(end/2));
% G... |
github | rodrigo-garcia-leon/thesis-matlab-master | ui.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@FFT/ui.m | 8,527 | utf_8 | 26957fd0084aa298f3a637be32233ff3 | function ui(obj, parent)
% Sets up the ui for the FFT Analyser.
% usage: ui(FFT, parent)
%
% We rely on picking up the Tag of the uicontrol objects later, so we only
% set them up, we don't return handles to each of them. We can get the handles
% again in the settings method with handle = findobj('Tag','YourTagHere'... |
github | rodrigo-garcia-leon/thesis-matlab-master | ui.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@CZT/ui.m | 8,321 | utf_8 | 0229572a8935ab720dcab19e2f86c424 | function ui(obj, parent)
% Sets up the ui for the CZT Analyser.
% usage: ui(CZT, parent)
%
% We rely on picking up the Tag of the uicontrol objects later, so we only
% set them up, we don't return handles to each of them. We can get the handles
% again in the settings method with handle = findobj('Tag','YourTagHere'... |
github | rodrigo-garcia-leon/thesis-matlab-master | mircepstrum.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mircepstrum/mircepstrum.m | 5,323 | utf_8 | b527e3d6bf5c706f3a98f50041735a0e | function varargout = mircepstrum(orig,varargin)
% s = mircepstrum(x) computes the cepstrum, which indicates
% periodicities, and is used for instance for pitch detection.
% x can be either a spectrum, an audio signal, or the name of an audio file.
% Optional parameter:
% mircepstrum(...,'Min',min) spe... |
github | rodrigo-garcia-leon/thesis-matlab-master | processWindow.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@ThirdOctaveBand/processWindow.m | 4,108 | utf_8 | 0b43d2ababeded61b393e3e85d520062 | function dataOut = processWindow(obj, dataIn)
% PROCESSWINDOW This is the core workhorse of this analyser
%
% We are using raw mode - the whole file to be analysed is stored
% in dataIn.
if dataIn == 1
dataOut = 1;
return;
end
fs = get(obj, 'fs');
lab_freq = [100 125 160 200 250 315 400 500 630 800 1000 1250 16... |
github | rodrigo-garcia-leon/thesis-matlab-master | bp_filter_signal.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@ThirdOctaveBand/private/bp_filter_signal.m | 656 | utf_8 | b1293e23b1bf1b98541f8878f1e28388 | % function sig_out = bp_filter_signal(cutoff, Fs, sig, number_cascade);
%
% creates chebyshev type I bandpass filter with cutoff frequencies defined
function sig_out = bp_filter_signal(cutoff, Fs, sig, N)
w_low = cutoff(1)/(Fs/2);
w_high = cutoff(2)/(Fs/2);
[num, den] = cheby1(N, 0.5, [w_low w_high]);
% draw bode pl... |
github | rodrigo-garcia-leon/thesis-matlab-master | processWindow.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@CPBFFT/processWindow.m | 1,953 | utf_8 | 3be2104e7691f634b6cb934e836f1b57 | function dataOut = processWindow(obj, dataIn)
% PROCESSWINDOW This is the core workhorse of this analyser
%
% NOTE: Every window is the same size and comes appropriately
% zero-padded both in front and at rear, whenever neccessary,
% and so that is why the following is just a straightforward
% call.
... |
github | rodrigo-garcia-leon/thesis-matlab-master | ui.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@CPBFFT/ui.m | 7,165 | utf_8 | 1a5beccd87fcdf2348b6bf0de44b040c | function ui(obj, parent)
% Sets up the ui for the CPBFFT Analyser.
% usage: ui(FFT, parent)
%
% We rely on picking up the Tag of the uicontrol objects later, so we only
% set them up, we don't return handles to each of them. We can get the handles
% again in the settings method with handle = findobj('Tag','YourTagHe... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirautocor.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirautocor/mirautocor.m | 23,424 | utf_8 | 260f2b7984113950e563007918870f43 | function varargout = mirautocor(orig,varargin)
% a = mirautocor(x) computes the autocorrelation function related to x.
% Optional parameters:
% mirautocor(...,'Min',mi) indicates the lowest delay taken into
% consideration. The unit can be precised:
% mirautocor(...,'Min',mi,'s') (defa... |
github | rodrigo-garcia-leon/thesis-matlab-master | processWindow.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@TwelfthOctConstQ/processWindow.m | 1,540 | utf_8 | 60c0895b3c517108df363a78e2260ea1 | function dataOut = processWindow(obj, dataIn)
% PROCESSWINDOW This is the core workhorse of this analyser
%
% NOTE: Every window is the same size and comes appropriately
% zero-padded both in front and at rear, whenever neccessary,
% and so that is why the following is just a straightforward
% call.
... |
github | rodrigo-garcia-leon/thesis-matlab-master | ui.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@TwelfthOctConstQ/ui.m | 7,235 | utf_8 | 9e2f47a60e4d770752ff06e6d9b65bde | function ui(obj, parent)
% Sets up the ui for the CPBFFT Analyser.
% usage: ui(FFT, parent)
%
% We rely on picking up the Tag of the uicontrol objects later, so we only
% set them up, we don't return handles to each of them. We can get the handles
% again in the settings method with handle = findobj('Tag','YourTagHe... |
github | rodrigo-garcia-leon/thesis-matlab-master | ui.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@CepstrumComplex/ui.m | 7,038 | utf_8 | 177cb957d2f76e4ac27beeb7d833e9d4 | function ui(obj, parent)
% Sets up the ui for the FFT Analyser.
% usage: ui(FFT, parent)
%
% We rely on picking up the Tag of the uicontrol objects later, so we only
% set them up, we don't return handles to each of them. We can get the handles
% again in the settings method with handle = findobj('Tag','YourTagHere'... |
github | rodrigo-garcia-leon/thesis-matlab-master | signal.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@LoudnessCF/private/signal.m | 2,457 | utf_8 | 7412f03746ac6a97e82950fce171b192 | % constructor of class @signal
% parent class: none
% function sig=signal(length,samplerate,name,unit_x,unit_y,start_time)
% INPUT VALUES:
% length: length of signal in seconds [default 1]
% samplerate: samplerate in Hz (points per seconds) [default: 1000]
% name: display name of the signal (string... |
github | rodrigo-garcia-leon/thesis-matlab-master | display.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirscalar/display.m | 15,268 | utf_8 | 40d6b7b93c2b24babd318a07e161437e | function display(s,varargin)
% Section 1 : related to the class Analyser
% (Mir adapted for Psysound3)
% % Print the name
% fprintf('\n%s Object\n\n', class(s));
%
% % Name
% fprintf(' Name\t\t : %s\n', get(s,'Name'));
%
% % filename
% fprintf(' filename\t : ''%s''\n', s.filename);
%
% % fs
% fprintf(' fs\t\t ... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirsave.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirscalar/mirsave.m | 1,826 | utf_8 | 1c310a1c6b67eb105baef4f34bb10743 | function mirsave(a)
d = get(a,'Data');
n = get(a,'Name');
t = get(a,'Title');
c = get(a,'Channels');
fp = get(a,'FramePos');
out = cell(1,length(d));
for k = 1:length(d)
dk = d{k};
if not(iscell(dk))
dk = {dk};
end
out = [];
for l = 1:size(dk{1},3)
for i = 1:length(dk)
... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirdisplay.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirdata/mirdisplay.m | 5,703 | utf_8 | c82eea521bfcd38792e6de59e439a887 | function mirdisplay(d,varargin)
% DISPLAY Lists the fields of this object
% Section 1 : related to the class Analyser
% (Mir adapted for Psysound3)
% Print the name
fprintf('\n%s Object\n\n', class(d));
% Name
n=get(d,'Name');
fprintf(' Name\t\t : %s\n', n);
% filename
f=get(d,'filename');
fprintf(' filename\... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirdata.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirdata/mirdata.m | 5,048 | utf_8 | faed74fba649d717512eb8839ed96e63 | function obj = mirdata(orig,varargin)
% d = mirdata(x) creates a MIR object.
% mirdata Constructor
%for the Psysound-style classes (adapted from MirToolbox)
obj = struct;
switch nargin
case 1
arg1 = orig;
if isstruct(arg1)
% Copy Constructor
% This should be a file handle
base = Ana... |
github | rodrigo-garcia-leon/thesis-matlab-master | combine.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@mirdata/combine.m | 2,415 | utf_8 | c56b6fe271fdcfbe9ca0b74541f3eb46 | function c = combine(varargin)
c = varargin{1};
l = length(varargin);
p = cell(1,l);
ch = cell(1,l);
d = cell(1,l);
fp = cell(1,l);
sr = cell(1,l);
n = cell(1,l);
la = cell(1,l);
cl = cell(1,l);
pp = cell(1,l);
pm = cell(1,l);
pv = cell(1,l);
ppp = cell(1,l);
ppv = cell(1,l);
tp = cell(1,l);
tv = cell(1,l);
tpp = cell... |
github | rodrigo-garcia-leon/thesis-matlab-master | miraudio.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@miraudio/miraudio.m | 14,101 | utf_8 | 8dfd248a78ebba48c3a43a0bf9f51fd7 | function varargout = miraudio(orig,varargin)
% a = miraudio('filename') loads the sound file 'filename' (in WAV or AU
% format) into a miraudio object.
% a = miraudio('Folder') loads all the sound files in the CURRENT folder
% into a miraudio object.
% a = miraudio(v,sr), where v is a column vector, t... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirplay.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@miraudio/mirplay.m | 3,092 | utf_8 | 29c6db8b15df3945dda9d054d80603eb | function varargout = mirplay(a,varargin)
% mirplay method for miraudio objects. Help displayed in ../mirplay.m
ch.key = 'Channel';
ch.type = 'Integer';
ch.default = 0;
option.ch = ch;
sg.key = 'Segment';
sg.type = 'Integer';
sg.default = 0;
option.sg = ... |
github | rodrigo-garcia-leon/thesis-matlab-master | settings.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@MIRPITCH/settings.m | 3,292 | utf_8 | 66c62f447462fb54365f2ba24ef50814 | function [ obj, fh ] = settings(obj ,fh )
%SETTINGS Summary of this function goes here
% Detailed explanation goes here
MirOptionStr = getMirOptions(obj);
obj = set(obj,'OptionStr',MirOptionStr);
[Frame, Name] = getMirPlotType(obj);
obj = setMir(obj,'Frame',Frame);
obj = setMir(obj,'SpectrumType',Name);
end
func... |
github | rodrigo-garcia-leon/thesis-matlab-master | constructDataObjects.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@MIRPITCH/constructDataObjects.m | 5,542 | utf_8 | bf78b80914fc19d1fa18a6f6c40e575f | function obj = constructDataObjects(obj, dataBuffer, timePoints)
% CONSTRUCTDATAOBJECTS Constructs the appropriate data objects
%
% Analogous to assignoutputs
%
% Get the pitch and autocorrelation data
ac = dataBuffer{1};
p = dataBuffer{2};
% Get the frame position data
fp = dataBuffer{3};
% Get the frequency data
... |
github | rodrigo-garcia-leon/thesis-matlab-master | ui.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@MIRPITCH/ui.m | 12,107 | utf_8 | 13fef4c4c76c797ec6e9888591064e34 | function ui(obj, parent)
% Sets up the ui for the FFT Analyser.
% usage: ui(FFT, parent)
%
% We rely on picking up the Tag of the uicontrol objects later, so we only
% set them up, we don't return handles to each of them. We can get the handles
% again in the settings method with handle = findobj('Tag','YourTagHere'... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirinharmonicity.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@MIRPITCH/private/mirinharmonicity.m | 3,661 | utf_8 | d398d9221939306b6ace4776fc4a27d0 | function varargout = mirinharmonicity(orig,varargin)
% ih = mirinharmonicity(x) estimates the inharmonicity of x, i.e., the
% amount of partials that are not multiples of the fundamental
% frequency.
% x can be either an audio file, a miraudio or a mirspectrum object.
% WARNING: This function pres... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirroughness.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@MIRPITCH/private/mirroughness.m | 3,390 | utf_8 | 69372991411816298ac0701ed59a976d | function varargout = mirroughness(x,varargin)
% r = mirroughness(x) calculates the roughness, or sensory dissonance,
% due to beating phenomenon between close frequency peaks.
% The frequency components are supposed to remain sufficiently
% constant throughout each frame of each audio file... |
github | rodrigo-garcia-leon/thesis-matlab-master | mirpitch.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@MIRPITCH/private/mirpitch.m | 13,702 | utf_8 | d5fb0d009d5aaa1d3e848bc65d24c9e3 | function varargout = mirpitch(orig,varargin)
% p = mirpitch(x) evaluates the pitch frequencies (in Hz).
% Specification of the method(s) for pitch estimation (these methods can
% be combined):
% mirpitch(...,'Autocor') computes an autocorrelation function
% (Default method)
% mirpitc... |
github | rodrigo-garcia-leon/thesis-matlab-master | MGLoudnessPsySound.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@LoudnessMG/private/MGLoudnessPsySound.m | 16,883 | utf_8 | 49e31181aa4d518750b3291dda1b0918 | function [Loudness,SpecLoudness,SharpnessA,SharpnessZ,TimbralWidth,Volume,DissonanceHK,DissonanceS,SpectDissHK,SpectDissS,Esig] = MGLoudnessPsySound(signal,SR,POINTS,Field)
%% Direct Port of Densil's Loudness and Dissonance Code
%
% Needs lots of vectorisation
if length(signal) == 1
Loudness = 4096;
return;
end
%... |
github | rodrigo-garcia-leon/thesis-matlab-master | processWindow.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@TwelfthOctIECFFT/processWindow.m | 2,055 | utf_8 | 769909746f8db71354cc895cde1099f8 | function dataOut = processWindow(obj, dataIn)
% PROCESSWINDOW This is the core workhorse of this analyser
%
% NOTE: Every window is the same size and comes appropriately
% zero-padded both in front and at rear, whenever neccessary,
% and so that is why the following is just a straightforward
% call.
... |
github | rodrigo-garcia-leon/thesis-matlab-master | ui.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@TwelfthOctIECFFT/ui.m | 7,165 | utf_8 | 1a5beccd87fcdf2348b6bf0de44b040c | function ui(obj, parent)
% Sets up the ui for the CPBFFT Analyser.
% usage: ui(FFT, parent)
%
% We rely on picking up the Tag of the uicontrol objects later, so we only
% set them up, we don't return handles to each of them. We can get the handles
% again in the settings method with handle = findobj('Tag','YourTagHe... |
github | rodrigo-garcia-leon/thesis-matlab-master | swipep.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@SWIPEP/private/swipep.m | 5,556 | utf_8 | 127f27249902b5bed961814ba6c5b90e | % This is the SWIPE' code by Arturo Camacho
% http://www.cise.ufl.edu/~acamacho/publications/dissertation.pdf
% [ 1 primes(n) ] in the for loop of the function pitchStrengthOneCandidate with [ 1:n ].
function [p,t,s] = swipep(x,fs,plim,dt,dlog2p,dERBs,sTHR)
% SWIPEP Pitch estimation using SWIPE'.
% P = SWIPEP(X,... |
github | rodrigo-garcia-leon/thesis-matlab-master | swipe.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@SWIPEP/private/swipe.m | 5,540 | utf_8 | 2d19fbb5dfaa820b0ab2532b3d9a15f8 | % This is the SWIPE code by Arturo Camacho
% http://www.cise.ufl.edu/~acamacho/publications/dissertation.pdf
% [ 1 primes(n) ] in the for loop of the function pitchStrengthOneCandidate with [ 1:n ].
function [p,t,s] = swipe(x,fs,plim,dt,dlog2p,dERBs,sTHR)
% SWIPE Pitch estimation using SWIPE.
% P = SWIPE(X,Fs,[P... |
github | rodrigo-garcia-leon/thesis-matlab-master | processWindow.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@VirtualPitch/processWindow.m | 2,848 | utf_8 | b9854672ab4d63fb3969920ad743f9fa | function dataOut = processWindow(obj, dataIn)
% PROCESSWINDOW This is the core workhorse of this analyser
%
% Sampling rate
fs = get(obj, 'fs');
% make frequencies from 440 - midi notes
%%%% This is set up for equal temperament, but COULD be changed
%%%% for other temperament schemes here.
i = -68:47;
notes = log2(... |
github | rodrigo-garcia-leon/thesis-matlab-master | terhardtVPitch.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@VirtualPitch/private/terhardtVPitch.m | 4,000 | utf_8 | eab70b3c40a3e30cf5b3077b0be6e86f | function [vPitch, sPitch] = terhardtVPitch(fs, data, varargin)
% TERHARDTVPITCH
%
% fs - sample rate
% data - power spectrum
% varargin - this is just to get the window length
lowerLimitHz = 20; % 20Hz lower freq. limit
upperLimitHz = 5e3;% 5kHz upper freq. limit.
% Output variables
vPitch=[]; sPitch=[];
% if run... |
github | rodrigo-garcia-leon/thesis-matlab-master | PitchProfile.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@VirtualPitch/private/PitchProfile.m | 16,710 | utf_8 | 13d742f31b9807772977fc1c307be2dd | function [chord2,cLH,ChrdChTimes,chroTSpec] = PitchProfile(Salience,timePoints,order)
% PITCHPROFILE find the pitch profile and apply chord recognition
% Wrapper around FindChord
[r,c] = size(Salience);
Salience = [zeros(r,3) Salience];
Salience(:,120)= zeros(r,1);
for i = 1:r
chromata = reshape(Salience(i,:)',12,... |
github | rodrigo-garcia-leon/thesis-matlab-master | processWindow.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@NthOctaveFFT/processWindow.m | 1,369 | utf_8 | d4d0405f3e031f1e438a8853aa32c9f8 | function dataOut = processWindow(obj, dataIn)
% PROCESSWINDOW This is the core workhorse of this analyser
%
% NOTE: Every window is the same size and comes appropriately
% zero-padded both in front and at rear, whenever neccessary,
% and so that is why the following is just a straightforward
% call.
%... |
github | rodrigo-garcia-leon/thesis-matlab-master | display.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@Analyser/display.m | 2,837 | utf_8 | bc560be0157cf825fc4198a5a806e06f | function display(obj)
% DISPLAY Lists the fields of this object
% Print the name
fprintf('\n%s Object\n\n', class(obj));
% Name
fprintf(' Name\t\t : %s\n', obj.Name);
% filename
fprintf(' filename\t : ''%s''\n', obj.filename);
% fs
fprintf(' fs\t\t : %d samples/sec\n', obj.fs);
% bits
fprintf(' bits\t\t : %d\... |
github | rodrigo-garcia-leon/thesis-matlab-master | display2An.m | .m | thesis-matlab-master/tb_PsySound32/AudioAnalysers/@Analyser/display2An.m | 2,837 | utf_8 | bc560be0157cf825fc4198a5a806e06f | function display(obj)
% DISPLAY Lists the fields of this object
% Print the name
fprintf('\n%s Object\n\n', class(obj));
% Name
fprintf(' Name\t\t : %s\n', obj.Name);
% filename
fprintf(' filename\t : ''%s''\n', obj.filename);
% fs
fprintf(' fs\t\t : %d samples/sec\n', obj.fs);
% bits
fprintf(' bits\t\t : %d\... |
github | terrykong/Phase-Vocoder-master | FinalDemo.m | .m | Phase-Vocoder-master/Version Final/FinalDemo/FinalDemo.m | 6,012 | utf_8 | 741bb7c7526783a7a64ff3f061d7633a | % FINAL DEMO interface
%
% This script is meant to be used for communication with the DSP chip
% This opens a serial port to listen (indefinitely) to the DSP chip.
%
%
function FinalDemo
clear all; clc; close all;
%% Stablish serial connection with DSP Shield
baud = 115200;
% comport = 'COM6';
compo... |
github | terrykong/Phase-Vocoder-master | realImag2Complex.m | .m | Phase-Vocoder-master/Version Final/FinalDemo/realImag2Complex.m | 428 | utf_8 | cfd81577ef07a1b805ed980806a453a3 | % REALIMAG2COMPLEX Converts from real-imag interleaved to complex format.
%
% OUTPUT = REALIMAG2COMPLEX(INPUT) converts INPUT vector with interleaved
% real and imaginary values to complex format. E.g.,
% INPUT = [1; 2; 3; 4; 5; 6; 7; 8] the output is
% OUTPUT = [1 + 2 j; 3 + 4 j; 5 + 6 j; 7 + 8 j]
%
% See als... |
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