(buf)pitch: added new default behaviour. (buf)melbands: added the output unit class and help. (buf)spectrashape: added the 5 new parameters in class and help.
This flag enables the scaling of the output to preserve the energy of the window. It is on (1) by default.
ARGUMENT:: scale
This flag sets the scaling of the output value. It is either linear (0, by default) or in dB (1).
ARGUMENT:: windowSize
The window size. As spectral description relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
This class implements three popular pitch descriptors, computed as frequency and the confidence in its value. It is part of the LINK:: Guides/FluidDecomposition:: of LINK:: Guides/FluCoMa::. For more explanations, learning material, and discussions on its musicianly uses, visit http://www.flucoma.org/
The process will return a multichannel buffer with two channels per input channel, one for pitch and one for the pitch tracking confidence. Each sample represents a value, which is every hopSize. Its sampling rate is sourceSR / hopSize.
The process will return a multichannel buffer with two channels per input channel, one for pitch and one for the pitch tracking confidence. A pitch of 0 is yield when the algorithm cannot find a fundamental at all. Each sample represents a value, which is every hopSize. Its sampling rate is sourceSR / hopSize.
The destination buffer for the 7 spectral features describing the spectral shape.
ARGUMENT:: minFreq
The minimum frequency that the algorithm will consider for computing the spectral shape. Frequencies below will be ignored. The default of 0 goes down to DC when possible.
ARGUMENT:: maxFreq
The maximum frequency that the algorithm will consider for computing the spectral shape. Frequencies above will be ignored. The default of -1 goes up to Nyquist.
ARGUMENT:: rolloffPercent
This sets the percentage of the frame's energy that will be reported as the rolloff frequency. The default is 95%.
ARGUMENT:: unit
The frequency unit for the spectral shapes to be computed upon, and outputted at. The default (0) is in Hertz and computes the moments on a linear spectrum. The alternative is in MIDI note numbers(1), which compute the momontes on an exponential spectrum.
ARGUMENT:: power
This flag sets the scaling of the magnitudes in the moment calculation. It uses either its amplitude (0, by default) or its power (1).
ARGUMENT:: windowSize
The window size. As spectral shape estimation relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
This flag enables the scaling of the output to preserve the energy of the window. It is on (1) by default.
ARGUMENT:: scale
This flag sets the scaling of the output value. It is either linear (0, by default) or in dB (1).
ARGUMENT:: windowSize
The window size. As sinusoidal estimation relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
This class implements three popular pitch descriptors, computed as frequency and the confidence in its value. It is part of the LINK:: Guides/FluidDecomposition:: of LINK:: Guides/FluCoMa::. For more explanations, learning material, and discussions on its musicianly uses, visit http://www.flucoma.org/
The process will return a multichannel control steam with [pitch, confidence] values, which will be repeated if no change happens within the algorithm, i.e. when the hopSize is larger than the server's kr period.
The process will return a multichannel control steam with [pitch, confidence] values, which will be repeated if no change happens within the algorithm, i.e. when the hopSize is larger than the server's kr period. A pitch of 0 is yield when the algorithm cannot find a fundamental at all.
## the normalised skewness (3) as ratio. This indicates how tilted is the spectral curve in relation to the middle of the spectral frame, i.e. half of the Nyquist frequency. If it is below that frequency, i.e. the central bin of the magnitude spectrum, it is positive.
## the normalised kurtosis (4) as ratio. This indicates how focused is the spectral curve. If it is peaky, it is high.
::
## the rolloff (5) in Hz. This indicates the frequency under which 95% of the energy is included.
## the rolloff (5) in Hz. This indicates the frequency under which code::rolloffPercent:: of the energy is included. The default is 95%.
## the flatness (6) in dB. This is the ratio of geometric mean of the magnitude, over the arithmetic mean of the magnitudes. It yields a very approximate measure on how noisy a signal is.
## the crest (7) in dB. This is the ratio of the loudest magnitude over the RMS of the whole frame. A high number is an indication of a loud peak poking out from the overal spectral curve.
@ -32,6 +32,21 @@ METHOD:: kr
ARGUMENT:: in
The audio to be processed.
ARGUMENT:: minFreq
The minimum frequency that the algorithm will consider for computing the spectral shape. Frequencies below will be ignored. The default of 0 goes down to DC when possible.
ARGUMENT:: maxFreq
The maximum frequency that the algorithm will consider for computing the spectral shape. Frequencies above will be ignored. The default of -1 goes up to Nyquist.
ARGUMENT:: rolloffPercent
This sets the percentage of the frame's energy that will be reported as the rolloff frequency. The default is 95%.
ARGUMENT:: unit
The frequency unit for the spectral shapes to be computed upon, and outputted at. The default (0) is in Hertz and computes the moments on a linear spectrum. The alternative is in MIDI note numbers(1), which compute the momontes on an exponential spectrum.
ARGUMENT:: power
This flag sets the scaling of the magnitudes in the moment calculation. It uses either its amplitude (0, by default) or its power (1).
ARGUMENT:: windowSize
The window size. As spectral shape estimation relies on spectral frames, we need to decide what precision we give it spectrally and temporally, in line with Gabor Uncertainty principles. http://www.subsurfwiki.org/wiki/Gabor_uncertainty
Pierre Alexandre Tremblay
5 years ago