Marsyas
0.2

These MarSystems process realvecs. There is a separate list of simple processing blocks; this list includes both simple and advanced processing blocks. More...
Data Structures  
class  ADSRenvelope 
Multiply input realvec by Value of Envelope. More...  
class  BeatAgent 
Entity representing a given {period, phase} hypothesis regarding a train of beat positions paced by the following tempo. A set of initial agents are feeded by the initial hypothesis given by an initial tempo induction stage. Each BeatAgent is recursively evaluated in realtime, by a given score function (heuristics), around each predicted beat. According to the goodnessoffit between each agent's prediction and the correspondent local maxima in the observed data (given by the onset detection function calculated by the Spectral Flux) the agent's current score is incremented or decremented, calling for the creation of new agents (children) when large discrepancies are observed. More...  
class  BeatPhase 
Given a periodicity calculate best matching phase. More...  
class  BeatReferee 
Central agency responsible for causally evaluating a pool of active BeatAgents around each beat prediction, and selecting the best one at each time ("frame"  tick), based on a given heuristics (score function) which affers the goodnessoffit between each agent prediction and local maxima in the observed data (given by the onset detection function calculated by the Spectral Flux). More...  
class  BeatTimesSink 
Outputs predicted beat times (in seconds or "frames"ticks) and/or the median IBI (in BPMs). More...  
class  Biquad 
Filter a Signal. More...  
class  CARFAC 
Multiply input realvec with a fixed value. More...  
class  Clip 
Clip. More...  
class  Combinator 
Basic example on how to use controls efficiently in MarSystems. More...  
class  CompExp 
Multiply input realvec with CompExp. More...  
class  Deinterleave 
Deinterleave i.e. Reorder input realvec along observations. More...  
class  DeInterleaveSizecontrol 
Deinterleave i.e. Reorder input realvec. More...  
class  Delay 
Delay. More...  
class  DelaySamples 
Simple MarSystem that shifts samples back in time. More...  
class  DeltaFirstOrderRegression 
Calculate simple time domain delta in first order regression fashion. More...  
class  Differentiator 
Calculate the difference of successive input samples. More...  
class  DownSampler 
Downsample the input signal by dropping samples. More...  
class  Envelope 
Multiply input realvec by Value of Envelope. More...  
class  ERB 
ERB Filterbank. More...  
class  Filter 
Filter a Signal. More...  
class  FullWaveRectifier 
Full wave rectification: take the absolute value of all samples. More...  
class  Gain 
Multiply input realvec with a fixed value. More...  
class  HalfWaveRectifier 
Negative values are trimmed to zero, positive values are kept. More...  
class  HarmonicStrength 
Calculates the relative strength of harmonics. More...  
class  Inject 
Inject a vector specified by the mrs_realvec/inject control into the datastream. More...  
class  Limiter 
Multiply input realvec with Limiter. More...  
class  LyonAgc 
Automatic Gain control specific for Lyon's Passive Ear. More...  
class  LyonChannelDiff 
Channel Difference specific for Lyon's Passive Ear. More...  
class  LyonPassiveEar 
Lyon filterbank. More...  
class  LyonZeroOutPreEmph 
set the first two filter channels (preemphasis) to zero More...  
class  MarSystemTemplateBasic 
Basic example on how to use controls efficiently in MarSystems. More...  
class  MathPower 
each output = pow(input, x). Supports decimal exponents (i.e. taking the nth root). More...  
class  MedianFilter 
Apply median filter on input vector. More...  
class  Memory 
Memory output the past memSize input observations. More...  
class  MixToMono 
Mix the input channels (observations rows) into one output observation channel. More...  
class  Mono2Stereo 
Convert mono to stereo by copying. More...  
class  Negative 
Toggle the sign of the input samples. More...  
class  NoiseGate 
Multiply input realvec with NoiseGate. More...  
class  Norm 
Normalize each observation channel separately per slice. More...  
class  Normalize 
Normalize my mapping min/max range to user specified range. More...  
class  NormalizeAbs 
Normalize each observation channel by absolute value. More...  
class  NormMatrix 
Normalize the input data slice as a whole. More...  
class  NormMaxMin 
Normalize by mapping min/max range to user specified range. More...  
class  OnePole 
Simple onepole digital filter. More...  
class  OnsetTimes 
Retrieves M first beat times (phases, in "frames"ticks), retrieved from peaks from an onset function. More...  
class  OrcaSnip 
Multiply input realvec with OrcaSnip. More...  
class  OverlapAdd 
OverlapAdd. More...  
class  Panorama 
Amplitude Panning to move single broadband source to an azimuth angle. More...  
class  ParallelMatrixWeight 
Basic example on how to use controls efficiently in MarSystems. More...  
class  PatchMatrix 
Linear Combine Each input channel (i.e. observation) with each other channel the weights for the combinations can be provided through the weights control: each column of the weights control contains the weight for the input channel (i.e. row) with the same number indexwise. Sets of weight for each channel are expected to be found within same channel of the weights control. A constant vector can also be provided in the consts control to set the offset for each channel respectively. More...  
class  PeakDistanceHorizontality 
compute a weight depending on how "horizontal" the distance between two peak entries is More...  
class  PeakRatio 
Incorporates the ratio of the higest peak to minimal/average peak of each observation samplewise to the output vector. More...  
class  PhaseLock 
Retrieves the N best {period, phase} hypotheses by affering the phase more suited to each period (by correlating each of the N*M hypotheses with the onset detection function within the initial induction window). Besides, it tries to infer the correct metre (duple or triple) by atributing the correspondent hierarchical set of initial scores, normalized in accordance to the weigth imposed by the time of the initial induction window. It supports groundtruth mode which inputs the first two beats retrieved from a groundtruth beat times annotation file, for initially assigning (only) one agent with the groundtruth period and phase. More...  
class  RemoveObservations 
Removes observations outside a given range. More...  
class  Resample 
resamples all observations using a piecewise cubic bezier polynomial for interpolation between samples More...  
class  ResampleBezier 
resamples all observations using a piecewise cubic bezier polynomial for interpolation between samples More...  
class  ResampleLinear 
Stretch samples using linear interpolation. More...  
class  ResampleNearestNeighbour 
Stretch samples using the samples' nearest neighbours. More...  
class  ResampleSinc 
resamples all observations using a sum of sinc functions wheareas each point is modeled by a sinc function with the given points amplitude, that is set to zero after the 5th zero crossing More...  
class  Reverse 
Reverse the input samples (i.e. first samples become last and viceversa) More...  
class  Shifter 
Shifts the input and outputs the original and shifted version. More...  
class  ShiftInput 
Apply sliding window with certain hop size and window size. More...  
class  ShiftOuput 
Shift next D samples. More...  
class  Signum 
Compute sign of input vector: output vector is 1 for strictly positive observations, 0 for the rest. More...  
class  SimulMaskingFft 
Return only the power spectrum components above the masking threshold. More...  
class  SliceDelta 
Takes the difference (delta) between successive input slices. More...  
class  SliceShuffle 
Shuffle the incoming slices randomly. More...  
class  SpectralCentroidBandNorm 
Basic example on how to use controls efficiently in MarSystems. More...  
class  SpectralTransformation 
Contains various spectral transformation. Input and output is a complex spectrum. Mostly used to demonstrate how spectral analyis works. More...  
class  Spectrum2ACMChroma 
Transform an (amplitude) spectrum to a chroma profile. More...  
class  Square 
Square the input samples. More...  
class  StretchLinear 
Stretch samples using linear interpolation. More...  
class  SubtractMean 
Subtract the mean of each observation channel. More...  
class  Sum 
Sum the input rows of observations into one row. More...  
class  TempoHypotheses 
Organizes a NN x 3 matrix given NN = N x M raw {period, phase, periodSalience} hypotheses. (if no periods were retrieved some manually defined periods will be assumed) More...  
class  TimeFreqPeakConnectivity 
uses dynamic programming to create a (symmetric) distance matrix between the series of peaks at the inputs More...  
class  Transposer 
switches samples and observations, i.e. transposes the output realvec (inSamples > onObservations, onSamples > inObservations) More...  
class  Unfold 
Take a twodimesional realvec and unfold it to make a onedimensional realvec. More...  
class  Vibrato 
Apply vibrato using timevarying delay. More...  
class  Windowing 
Apply a windowing function (envelope) to the input signal. More... 
These MarSystems process realvecs. There is a separate list of simple processing blocks; this list includes both simple and advanced processing blocks.