SpsModelAnal¶

standard mode | Synthesis category

Inputs¶

frame (vector_real) - the input frame

Outputs¶

frequencies (vector_real) - the frequencies of the sinusoidal peaks [Hz]

magnitudes (vector_real) - the magnitudes of the sinusoidal peaks

phases (vector_real) - the phases of the sinusoidal peaks

stocenv (vector_real) - the stochastic envelope

Parameters¶

fftSize (integer ∈ [1, ∞), default = 2048) :
the size of the internal FFT size (full spectrum size)

freqDevOffset (integer ∈ (0, ∞), default = 20) :
minimum frequency deviation at 0Hz

freqDevSlope (real ∈ (-∞, ∞), default = 0.01) :
slope increase of minimum frequency deviation

hopSize (integer ∈ [1, ∞), default = 512) :
the hop size between frames

magnitudeThreshold (real ∈ (-∞, ∞), default = 0) :
peaks below this given threshold are not outputted

maxFrequency (real ∈ (0, ∞), default = 5000) :
the maximum frequency of the range to evaluate [Hz]

maxPeaks (integer ∈ [1, ∞), default = 100) :
the maximum number of returned peaks

maxnSines (integer ∈ (0, ∞), default = 100) :
maximum number of sines per frame

minFrequency (real ∈ [0, ∞), default = 0) :
the minimum frequency of the range to evaluate [Hz]

orderBy (string ∈ {frequency, magnitude}, default = frequency) :
the ordering type of the outputted peaks (ascending by frequency or descending by magnitude)

sampleRate (real ∈ (0, ∞), default = 44100) :
the sampling rate of the audio signal [Hz]

stocf (real ∈ (0, 1], default = 0.2) :
decimation factor used for the stochastic approximation

Description¶

This algorithm computes the stochastic model analysis.

It is recommended that the input “spectrum” be computed by the Spectrum algorithm. This algorithm uses SineModelAnal. See documentation for possible exceptions and input requirements on input “spectrum”.

References:: https://github.com/MTG/sms-tools http://mtg.upf.edu/technologies/sms

Source code¶

C++ source code

C++ header file