Analysis

These MarSystems analyze sound. More...

Data Structures
class	AbsMax
	Calculate the maximum absolute value for each observation signal (per slice). More...
class	ADRess
	Azimuth Discrimination and Resynthesis (ADRess) implementation, which takes a stereo input (i.e. input is expected to be the output of a parallel of two Spectrum MarSystems, one for each stereo channel), and outputs the phase vector and frequency dependent nulls matrix for each channel using the following format:. More...
class	ADRessSpectrum
	Takes the output of the ADRess (i.e. the stereo azimuth-frequency maps) and outputs a single channel spectrum of the part of the freq-azimuth plane selected by the d and H controls. This can then be inverse transformed back into time domain for resynthesis purposes. More...
class	ADRessStereoSpectrum
	Takes the output of the ADRess (i.e. the panning-frequency maps) and outputs the panning coefficient for each spectral bin (N/2+1 bins). More...
class	AimBoxes
	'Box-cutting' routine to generate dense features More...
class	AimGammatone
	Slaney's gammatone filterbank. More...
class	AimHCL
	Halfwave rectification, compression and lowpass filtering. More...
class	AimHCL2
	Halfwave rectification, compression and lowpass filtering. More...
class	AimLocalMax
	Local maximum strobe criterion: decaying threshold with timeout. More...
class	AimPZFC
	Time-domain AimPZFC. More...
class	AimPZFC2
	Time-domain AimPZFC2. More...
class	AimSAI
	Stabilised auditory image. More...
class	AimSSI
	Size-shape image (aka the 'sscAI'). More...
class	AimVQ
	Vector quantization for dense to sparse features. More...
class	AMDF
	Average Magnitude Difference Function. More...
class	AubioYin
	Pitch detection using the YIN algorithm. More...
class	AutoCorrelation
	Compute the generalized autocorrelation of input window. More...
class	BeatHistogram
	BeatHistogram. More...
class	BeatHistogramFromPeaks
	BeatHistogramFromPeaks. More...
class	BeatPhase
	Given a periodicity calculate best matching phase. More...
class	Centroid
	Centroid of each time slice of observations. More...
class	CrossCorrelation
	Computes the cross correlation of an input. More...
class	Daub4
	Daubechies4 WaveletStep. More...
class	EnhADRess
	Azimuth Discrimination and Resynthesis (EnhADRess) implementation, which takes a stereo input (i.e. input is expected to be the output of a parallel of two Spectrum MarSystems, one for each stereo channel), and outputs the magnitudes, phases and panning indexes for N/2+1 bins, stacked vertically:. More...
class	EnhADRessStereoSpectrum
	Takes the output of the enhADRess and outputs the panning coefficient for each spectral bin (N/2+1 bins). More...
class	F0Analysis
	Compute F0s in input spectrum. More...
class	Flux
	Flux calculate the flux between the current and prev. spectrum (e.g. output of PowerSpectrum). More...
class	Krumhansl_key_finder
	Krumhansl-Schmuckler Key-Finding Algorithm. More...
class	Kurtosis
	Kurtosis. More...
class	LPC
	Compute Warped LPC coefficients, Pitch and Power [STILL UNDER TESTING!]. More...
class	LPCC
	Convert LPC coefficients to Cepstrum coefficients. More...
class	LSP
	Compute Linear Spectral Pair (LSP) coefficients Takes the output of LPC() and calculates the corresponding LSP values. See the LPC class implementation. More...
class	MaxArgMax
	Calculate k maximums and their positions. More...
class	MaxMin
	Calculate the maximum and minimum values for each observation signal (per slice). More...
class	Mean
	Mean calculate the mean of each row of observations. More...
class	MeanAbsoluteDeviation
	Calculates the mean absolute deviation. More...
class	MeddisHairCell
	MeddisHairCell for auditory models. More...
class	Median
	Median calculate the median of each row of observations. More...
class	MFCC
	MFCC Mel-Frequency Cepstral Coefficients. Takes as input the N/2+1 spectrum Magnitude points output by PowerSpectrum. More...
class	MinArgMin
	Calculate k minimums and their positions. More...
class	Peaker
	Pick peaks out of signal. More...
class	PeakerOnset
	Detects if input contains a onset point. More...
class	PeakInObservation
	Compute peaks in observation vector. More...
class	Pitch2Chroma
	Transform pitch to chroma input = amplitude spectrum with peaks at frequency bins that represent pitches and values that represent evidences output = chroma profile with chroma values ordered according to the circle of fifths, i.e. A, E,.. D. More...
class	PitchDiff
	Difference between detected and expected pitch. More...
class	Power
	compute the RMS Power of the input observations into one column More...
class	PowerSpectrum
	PowerSpectrum computes the magnitude/power of the complex spectrum. More...
class	PowerToAverageRatio
	PowerToAverageRatio (or Power-to-Average Ratio) of a window. More...
class	Rms
	Rms energy of realvec. More...
class	Rolloff
	Rolloff of each time slice of observations. More...
class	RunningAutocorrelation
	Running calculation (across slices) of the autocorrelation values. More...
class	RunningStatistics
	Gathers the running average, variance, standard deviation, etc. More...
class	SNR
	Compute SNR and variations. More...
class	SpectralFlatnessAllBands
	Calculates a single spectral flatness value. More...
class	Spectrum
	Compute the complex spectrum of input window. More...
class	Spectrum2ACMChroma
	Transform an (amplitude) spectrum to a chroma profile. More...
class	Spectrum2Chroma
	Convert spectrum magnitude (e.g. output from PowerSpectrum MarSystem) into a Chroma vector representation. More...
class	Spectrum2Mel
	Convert spectrum magnitude (e.g. output from PowerSpectrum MarSystem) into Mel frequency scale. More...
class	Standard
	Standard Deviation of each row of observations. More...
class	StereoSpectrum
	StereoSpectrum computes the panning index for each spectrum bin of a stereo input (i.e. input is expected to be the output of a parallel of two Spectrum MarSystems, one for each stereo channel). More...
class	StereoSpectrumFeatures
	StereoSpectrumFeatures capture panning information. More...
class	StereoSpectrumSources
	StereoSpectrumSources estimates the number of sources placed into different stereo positions. More...
class	WaveletPyramid
	Pyramid wavelet algorithm. More...
class	Yin
	Pitch detection using the YIN algorithm. More...
class	ZeroCrossings
	Time-domain ZeroCrossings. More...

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Detailed Description

These MarSystems analyze sound.