the output (buffer) of an FFT UGen which transforms the audio input to track. For the FFT chain, with a standard hop of half FFT size, the FFT size should be 1024 at 44.1 or 48 kHz and 2048 at 88.2 or 96 kHz sampling rate.
the number of coefficients, defaults to 13, maximum of 42; more efficient to use less of course!
Since this number determines the number of output channels of the UGen, it has to be an Int.
the output (buffer) of an FFT UGen which transforms the audio input to track.
the output (buffer) of an FFT UGen which transforms the audio input to track. For the FFT chain, with a standard hop of half FFT size, the FFT size should be 1024 at 44.1 or 48 kHz and 2048 at 88.2 or 96 kHz sampling rate.
A final implementation of this method which looks up the current ugen graph
builder and then performs the expansion just as force, returning the
expanded object
A final implementation of this method which looks up the current ugen graph
builder and then performs the expansion just as force, returning the
expanded object
the expanded object (e.g. Unit for a ugen with no outputs,
or a single ugen, or a group of ugens)
A final implementation of this method which calls visit on the builder,
checking if this element has already been visited, and if not, will invoke
the expand method.
A final implementation of this method which calls visit on the builder,
checking if this element has already been visited, and if not, will invoke
the expand method. Therefore it is guaranteed, that the expansion to
ugens is performed no more than once in the graph expansion.
the ugen graph builder to which expanded UGens or control proxies
may be added.
Abstract method which must be implemented by creating the actual UGens
during expansion.
the number of coefficients, defaults to 13, maximum of 42; more efficient to use less of course!
Since this number determines the number of output channels of the UGen, it has to be an Int.
A UGen for extracting mel frequency cepstral coefficients. It generates a set of MFCCs; these are obtained from a band-based frequency representation (using the Mel scale by default), and then a discrete cosine transform (DCT). The DCT is an efficient approximation for principal components analysis, so that it allows a compression, or reduction of dimensionality, of the data, in this case reducing 42 band readings to a smaller set of MFCCs. A small number of features (the coefficients) end up describing the spectrum. The MFCCs are commonly used as timbral descriptors.
The output values are somewhat normalised for the range 0.0 to 1.0, but there are no guarantees on exact conformance to this. Commonly, the first coefficient will be the highest value. The number of output channels corresponds to the number of coefficients specified. Technical note: The 0th coefficient is not generated as it consists of multiplying all bands by 1 and summing
Note that despite running at control-rate, the output remains constant for each FFT frame. E.g. with an FFT size of 1024 and 50% overlap, a new measure is generated every 512 audio frames, or (at control block size 64) every 8 control blocks.
the output (buffer) of an FFT UGen which transforms the audio input to track. For the FFT chain, with a standard hop of half FFT size, the FFT size should be 1024 at 44.1 or 48 kHz and 2048 at 88.2 or 96 kHz sampling rate.
the number of coefficients, defaults to 13, maximum of 42; more efficient to use less of course! Since this number determines the number of output channels of the UGen, it has to be an
Int.