nothing@0: nothing@0: nothing@0: nothing@0: nothing@0: Rms energy of realvec nothing@0: nothing@0: nothing@0: nothing@0: Rolloff of each time slice of observations nothing@0: nothing@0: nothing@0: nothing@0: Calculate k minimums and their positions nothing@0: nothing@0: nothing@0: nothing@0: Compute SNR and variations nothing@0: nothing@0: nothing@0: nothing@0: PowerToAverageRatio (or Power-to-Average Ratio) of a window nothing@0: nothing@0: nothing@0: nothing@0: Calculates a single spectral flatness value. nothing@0: nothing@0: nothing@0: nothing@0: Vector quantization for dense to sparse features nothing@0: nothing@0: nothing@0: nothing@0: Gathers the running average, variance, standard deviation, etc. nothing@0: nothing@0: nothing@0: nothing@0: StereoSpectrumFeatures capture panning information nothing@0: nothing@0: nothing@0: nothing@0: PowerSpectrum computes the magnitude/power of the complex spectrum nothing@0: nothing@0: nothing@0: nothing@0: Pitch detection using the YIN algorithm nothing@0: nothing@0: nothing@0: nothing@0: BeatHistogramFromPeaks nothing@0: nothing@0: nothing@0: nothing@0: Average Magnitude Difference Function nothing@0: nothing@0: nothing@0: nothing@0: Azimuth Discrimination and Resynthesis (ADRess) implementation,which takes a stereo input (i.e. input is expected to be the output of a nothing@0: nothing@0: nothing@0: nothing@0: 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). nothing@0: nothing@0: nothing@0: nothing@0: Time-domain AimPZFC nothing@0: nothing@0: nothing@0: nothing@0: Halfwave rectification, compression and lowpass filtering nothing@0: nothing@0: nothing@0: nothing@0: Compute Linear Spectral Pair (LSP) coefficientsTakes the output of ::LPC() and calculates the corresponding LSP values. nothing@0: nothing@0: nothing@0: nothing@0: Standard Deviation of each row of observations nothing@0: nothing@0: nothing@0: nothing@0: Centroid of each time slice of observations nothing@0: nothing@0: nothing@0: nothing@0: Convert LPC coefficients to Cepstrum coefficients. nothing@0: nothing@0: nothing@0: nothing@0: Flux calculate the flux between the current and prev. spectrum (e.g. output of PowerSpectrum) nothing@0: nothing@0: nothing@0: nothing@0: Slaney's gammatone filterbank nothing@0: nothing@0: nothing@0: nothing@0: Triangular FilterBankTakes as input the N/2+1 spectrum Magnitude points output by PowerSpectrum. nothing@0: nothing@0: nothing@0: nothing@0: Calculates the mean absolute deviation nothing@0: nothing@0: nothing@0: nothing@0: MFCC Mel-Frequency Cepstral Coefficients.Takes as input the N/2+1 spectrum Magnitude points output by PowerSpectrum. nothing@0: nothing@0: nothing@0: nothing@0: Difference between detected and expected pitch nothing@0: nothing@0: nothing@0: nothing@0: Pitch detection using the YIN algorithm nothing@0: nothing@0: nothing@0: nothing@0: 'Box-cutting' routine to generate dense features nothing@0: nothing@0: nothing@0: nothing@0: MeddisHairCell for auditory models nothing@0: nothing@0: nothing@0: nothing@0: Halfwave rectification, compression and lowpass filtering nothing@0: nothing@0: nothing@0: nothing@0: Time-domain AimPZFC2 nothing@0: nothing@0: nothing@0: nothing@0: Mean calculate the mean of each row of observations nothing@0: nothing@0: nothing@0: nothing@0: Pyramid wavelet algorithm nothing@0: nothing@0: nothing@0: nothing@0: Calculate the maximum absolute value for each observationsignal (per slice). nothing@0: nothing@0: nothing@0: nothing@0: Daubechies4 WaveletStep nothing@0: nothing@0: nothing@0: nothing@0: Local maximum strobe criterion: decaying threshold with timeout nothing@0: nothing@0: nothing@0: nothing@0: Calculate k maximums and their positions nothing@0: nothing@0: nothing@0: nothing@0: Takes the output of the enhADRessand outputs the panning coefficient for each spectral bin (N/2+1 bins). nothing@0: nothing@0: nothing@0: nothing@0: Takes the output of the ADRess (i.e. the stereo azimuth-frequencymaps) and outputs a single channel spectrum of the part of the freq-azimuth nothing@0: nothing@0: nothing@0: nothing@0: Pick peaks out of signal nothing@0: nothing@0: nothing@0: nothing@0: Azimuth Discrimination and Resynthesis (EnhADRess) implementation,which takes a stereo input (i.e. input is expected to be the output of a nothing@0: nothing@0: nothing@0: nothing@0: Detects if input contains a onset point nothing@0: nothing@0: nothing@0: nothing@0: BeatHistogram nothing@0: nothing@0: nothing@0: nothing@0: Compute the complex spectrum of input window nothing@0: nothing@0: nothing@0: nothing@0: Computes the cross correlation of an input. nothing@0: nothing@0: nothing@0: nothing@0: Size-shape image (aka the 'sscAI') nothing@0: nothing@0: nothing@0: nothing@0: Compute Warped LPC coefficients, Pitch and Power [STILL UNDER TESTING!]. nothing@0: nothing@0: nothing@0: nothing@0: Stabilised auditory image nothing@0: nothing@0: nothing@0: nothing@0: Krumhansl-Schmuckler Key-Finding Algorithm nothing@0: nothing@0: nothing@0: nothing@0: StereoSpectrum computes the panning index for each spectrumbin of a stereo input (i.e. input is expected to be the output of a nothing@0: nothing@0: nothing@0: nothing@0: compute the RMS Power of the input observations into one column*/ nothing@0: nothing@0: nothing@0: nothing@0: Calculate the maximum and minimum values for each observationsignal (per slice). nothing@0: nothing@0: nothing@0: nothing@0: Convert spectrum magnitude (e.g. output from PowerSpectrum MarSystem)into Mel frequency scale. nothing@0: nothing@0: nothing@0: nothing@0: Kurtosis nothing@0: nothing@0: nothing@0: nothing@0: compute the Energy of the input observations into one column*/ nothing@0: nothing@0: nothing@0: nothing@0: Running calculation (across slices) of the autocorrelation values. nothing@0: nothing@0: nothing@0: nothing@0: Convert spectrum magnitude (e.g. output from PowerSpectrum MarSystem)into a Chroma vector representation. nothing@0: nothing@0: nothing@0: nothing@0: StereoSpectrumSources estimates the number of sources placed into different stereo positions. nothing@0: nothing@0: nothing@0: nothing@0: Time-domain ZeroCrossings nothing@0: nothing@0: nothing@0: nothing@0: Median calculate the median of each row of observations nothing@0: nothing@0: nothing@0: nothing@0: Compute the generalized autocorrelation of input window nothing@0: nothing@0: