Code covered by the BSD License
Highlights from
MIRtoolbox
- aiffread(filePath,indexRange) AIFFREAD Read AIFF (Audio Interchange File Format) sound file.
- center(x)
- combinepeaks(p,v,thr) dedicated function for (Klapuri, 99) that creates a curve made of burst
- convolve2(x, m, shape, tol) CONVOLVE2 Two dimensional convolution.
- demo1pitch.m
- demo2timbre
- demo3tempo To get familiar with tempo estimation from audio using the MIR Toolbox.
- demo4segmentation To get familiar with some approaches of segmentation of audio files
- demo5export Example of use of the export function.
- demo6curves(file) Example of use of curve analysis tools, such as moment estimations.
- demo7tonality.m
- displot(x,y,xlab,ylab,t,fp,pp... graphical display of any data (except mirscalar data) computed by MIRToolbox
- fcoefs=MakeERBFilters(fs,numC... function [fcoefs]=MakeERBFilters(fs,numChannels,lowFreq)
- haspeaks(d)
- hwr(x) Half-Wave Rectifier
- isamir(x,class)
- mirattacks(orig,varargin)
- mirattackslope(orig,varargin) a = mirattackslope(x) estimates the average slope of each note attack.
- mirattacktime.m
- mirauditory(x,varargin) Produces the output based on an auditory modelling, of the signal x,
- mirbeatspectrum(orig,varargin) n = mirbeatspectrum(m) evaluates the beat spectrum.
- mirbrightness(x,varargin) b = mirbrightness(s) calculates the spectral brightness, i.e. the amount
- mircentroid(x,varargin) c = mircentroid(x) calculates the centroid (or center of gravity) of x.
- mirchunklim(lim) c = mirchunklim returns the maximal chunk size.
- mircluster(a,varargin) c = mircluster(a,f) clusters the segments in the audio sequence(s)
- mircompute(algo,varargin)
- mirdist(x,y,dist) d = mirdist(x,y) evaluates the distance between x and y.
- mirentropy(x,varargin) h = mirentropy(a) calculates the relative entropy of a.
- mirerror(operator,message)
- mireval(d,file,single,export) mireval(d,filename) applies the mirdesign object d to the audio file
- mirevalparallel(a,sr,w,single... Function in separate M file, because the "parfor" command is not
- mireventdensity(x,varargin) e = mireventdensity(x) estimate the mean frequency of events (i.e., how
- mirexport(f,varargin) mirexport(filename,...) exports statistical information related to
- mirfeatures(x,varargin) f = mirfeatures(x) computes a large set of features from one or several
- mirfilterbank(orig,varargin) b = mirfilterbank(x) performs a filterbank decomposition of an audio
- mirflatness(orig,varargin) f = mirflatness(x) calculates the flatness of x, which can be either:
- mirfluctuation(orig,varargin) f = mirfluctuation(x) calculates the fluctuation strength, indicating the
- mirflux(orig,varargin) f = mirflux(x) measures distance between successive frames.
- mirframe(x,varargin) f = mirframe(x) creates the frame decomposition of the audio signal x.
- mirframenow(x,option)
- mirfunction(method,x,varg,nou... Meta function called by all MIRtoolbox functions.
- mirgetdata(x,varargin) d = mirgetdata(x) return the data contained in the object x in a
- mirgetrange(x)
- mirhcdf(orig,varargin) df = mirhcdf(x) calculates the Harmonic Change Detection Function
- mirinharmonicity(orig,varargi... ih = mirinharmonicity(x) estimates the inharmonicity of x, i.e., the
- mirkey(orig,varargin)
- mirkurtosis(orig,varargin) k = mirkurtosis(x) calculates the kurtosis of x, indicating whether
- mirlength(orig,varargin) mirlength(x) indicates the temporal length of x.
- mirlowenergy(x,varargin) p = mirlowenergy(f) computes the percentage of frames showing a RMS
- mirmap(predics_ref,ratings_re... mirmap(predictors_file, ratings_file) performs a statistical mapping
- mirmean(f,varargin) m = mirmean(f) returns the mean along frames of the feature f
- mirmode(x,varargin) m = mirmode(a) estimates the mode. A value of 0 indicates a complete
- mirnovelty(orig,varargin) n = mirnovelty(m) evaluates the novelty score from a similarity matrix.
- mironsets(x,varargin) o = mironsets(x) shows a temporal curve where peaks relate to the
- miroptions(method,orig,specif... The options are determined during the bottom-up process design (see below).
- mirparallel(s) mirparallel(1) toggles on parallel processing: (BETA)
- mirpeaks(orig,varargin)
- mirplay(a,varargin) mirplay(a) plays audio signal, envelope, or pitches.
- mirpulseclarity(orig,varargin) r = mirpulseclarity(x) estimates the rhythmic clarity, indicating the
- mirread(extract,orig,load,fol... Read the audio file ORIG, at temporal position indicated by EXTRACT. If
- mirregularity(orig,varargin) i = mirregularity(x) calculates the irregularity of a spectrum, i.e.,
- mirrms(x,varargin) e = mirrms(x) calculates the root mean square energy.
- mirrolloff(x,varargin) r = mirrolloff(s) calculates the spectral roll-off in Hz.
- mirroughness(x,varargin) r = mirroughness(x) calculates the roughness, or sensory dissonance,
- mirsave(d,varargin) mirsave(d) saves temporal data d in a file.
- mirsegment(x,varargin) f = mirsegment(a) segments an audio signal. It can also be the name of an
- mirskewness(orig,varargin)
- mirspread(orig,varargin) S = mirspread(x) calculates the spread of x, which can be either:
- mirstat(f,varargin) stat = mirstat(f) returns basic statistics of the feature f as a
- mirstd(f,varargin) m = mirstd(f) returns the standard deviation along frames of the feature f
- mirsum(orig,varargin) s = mirsum(f) sums the envelope of the multi-channel object f.
- mirsummary(varargin) mirsummary is the same function as mirsum.
- mirtempo(x,varargin)
- mirtest(audio) Version 1.0
- mirtimes(a,b)
- mirtype(x)
- mirverbose(s) mirverbose(0) toggles off the display by MIRtoolbox of minor informations
- mirwaitbar(s) mirwaitbar(0) toggles off the display by MIRtoolbox of waitbar windows.
- mirzerocross(orig,varargin) mirzeroscross(x) computes the sign-changes rate along the signal x,
- mp3read(FILE,N,MONO,DOWNSAMP,... MP3READ Read MP3 audio file via use of external binaries.
- mp3write(D,SR,NBITS,FILE,OPTI... MP3WRITE Write MP3 file by use of external binary
- mtimescell(x,varargin)
- netlabgmminit(mix, x, options) GMMINIT Initialises Gaussian mixture model from data
- netlabkmeans(centres, data, o... KMEANS Trains a k means cluster model.
- nthoutput(orig,varargin)
- num2col(k);
- peaksegments(func,d,p,varargi...
- pluscell(x,varargin)
- purgedata(c)
- surfplot(varargin) SURFPLOT Pseudocolor (checkerboard) plot.
- uncell(x,lvl)
- miraudio(orig,varargin)
- mirautocor(orig,varargin) a = mirautocor(x) computes the autocorrelation function related to x.
- mircepstrum(orig,varargin) s = mircepstrum(x) computes the cepstrum, which indicates
- mirchromagram.m
- mirclassify(a,da,t,dt,varargi... c = mirclassify(test,features_test,train,features_train) classifies the
- mirdata(orig,varargin)
- mirdesign(orig,argin,option,p...
- miremotion(orig,varargin) Predicts emotion along three dimensions and five basic concepts.
- mirenvelope(orig,varargin) e = mirenvelope(x) extracts the envelope of x, showing the global shape
- mirhisto(x,varargin) h = mirhisto(x) constructs the histogram from x. The elements of x are
- mirkeysom(orig,varargin) ks = mirkeysom(x) projects a chromagram on a self-organizing map.
- mirkeystrength(orig,varargin) ks = mirkeystrength(x) computes the key strength, i.e., the probability
- mirmatrix(orig,varargin) Simple numerical matrix object used to display for instance correlation
- mirmfcc(orig,varargin) c = mirmfcc(a) finds the Mel frequency cepstral coefficients (ceps),
- mirmidi(orig,varargin) m = mirmidi(x) converts into a MIDI sequence.
- mirpattern(orig,varargin)
- mirpitch(orig,varargin) p = mirpitch(x) evaluates the pitch frequencies (in Hz).
- mirquery(varargin)
- mirscalar(orig,varargin) s = mirscalar(x,n) creates a scalar object
- mirsimatrix(orig,varargin) m = mirsimatrix(x) computes the similarity matrix resulting from the
- mirspectrum(orig,varargin) s = mirspectrum(x) computes the spectrum of the audio signal x, showing
- mirstruct(varargin)
- mirtemporal(orig,varargin) t = mirtemporal(x) creates a temporal object from signal x.
- mirtonalcentroid(orig,varargi... c = mirtonalcentroid(x) calculates the 6-dimensional tonal centroid
- Contents.m
- demo0grandbuffet.m
- mirdemo.m
- tutorial.m
- View all files
from
MIRtoolbox
by Olivier Lartillot
An innovative environment, on top of Matlab, for music and audio analysis |
||
|---|---|---|
|
Contact us at files@mathworks.com