WaveWarp 2.0 Component
      
Spectral Transformers:
Controllable Spectral Morph 1
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Functional Description
Spectral "morphing"
based on direct manipulation of FFT spectra.
The audio output is derived from a specific
blending of the two input audio spectra such as to achieve a "morphing" effect i.e.
whereby the output sounds like a "spectral mixture" of the input signals. The "morph factor"
is dynamically controlled by the input control signal.
See also the "Spectral Morph 1" component which applies the same morph effect but where the
morph factor is adjusted via a slider rather than via an input control signal.
The characteristics of the
morph are adjustable via the Parameter Window, as summarised in the
following table.
| Parameter | Purpose |
|---|
| "Buffer length" slider |
Adjusts the length of the input data buffer,
which also defines the "Latency" (overall delay) of the
process.
The FFT buffer size is computed from the "Buffer length"
rounded up to the nearest power of 2
(for efficient FFT computation). If "double zero-padding" is selected, the FFT buffer size is
doubled (after the rounding) to improve the smoothness of the spectrum between successive
FFT bins (but without increasing the underlying frequency resolution).
The input data buffer
is windowed (using a selected profile), then
extended to the length of the FFT buffer by
padding with zeros (on either side). Successive input data buffers are overlapped by a factor
of 2, and the ouputs of the overlapped
inverse transformed buffers are summed, in order
to avoid discontinuities at the window boundaries.
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| "Output gain" slider |
Adjusts the overall gain of the output signal, after the spectral manipulations have been applied.
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| "Window type" selection |
Selects the profile of the windowing function applied to the input data.
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Algorithm
Each successive input buffer is transformed
to the frequency domain using the windowed-FFT with double overlapping.
The spectra of the two input signals are blended on a point-by-point basis
by combining their magnitudes and phases in such a way as
to achieve a "morphed" hybrid spectrum.
The modified spectrum is then
re-converted to the time domain (using the inverse FFT), and
the overlapped output buffers are summed to yield the output signal.
For an introduction to the Discrete Fourier Transform and the FFT,
see, for example,
[St] sections 4.1 and 4.2.
For further introductory information (with emphasis on audio applications), and
for discussions on spectral measurements, zero-padding,
windowing, the overlap-add re-synthesis method,
and the Short Time Fourier Transform (STFT) for audio applications,
see
[Roa] p. 1084-1112
and
[Moore] p. 61-111.
Signal Implementations
| Audio signals | Control signals | Description |
|---|
| Single input single output stereo-mono | single input | Left input morphed with right input, sent to mono output. Morph factor dynamically adjusted via control input. |
| Single input single output stereo-stereo | single input | Left input morphed with right input, sent (in duplicate) to stereo output. Morph factor dynamically adjusted via control input. |
| Double input single output mono-mono | single input | First mono input morphed with second mono input, sent to mono output. Morph factor dynamically adjusted via control input. |
| Double input single output mono-stereo | single input | First mono input morphed with second mono input, sent (in duplicate) to stereo output. Morph factor dynamically adjusted via control input. |
| Double input single output stereo-mono | single input | Average of left and right channels of first input morphed with average of left and right channels of second input, sent to mono output. Morph factor dynamically adjusted via control input. |
| Double input single output stereo-stereo | single input | Average of left and right channels of first input morphed with average of left and right channels of second input, sent (in duplicate) to stereo output. Morph factor dynamically adjusted via control input. |
Related components:
Example DrawingBoards illustrating usage:
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