anonymous

Mitch Turner

Turn_To_FFT_1.01 is a set of pfft~ subpatches that punch irregular holes into the spectrum of a sound. Included are pfft~ subpatches, helper patches, and ReadMe files.


turner-turn-to-fft

Turn To FFT 1.01

Árni Halldórsson

Multiband Madness splits incoming audio signal into 64 frequency bands and does independent processing to each band with respect to gain, delay, feedback, distortion, detune amount and detune rate.

Drop audio file, play with parameters, revert to preset, control master volume and record!


Based on Cycling ’74 tutorial: https://youtu.be/gIZoyT380KQ

Additional authors: Yassine El Assyouti & Loic Girod

Multiband Madness splits incoming audio signal into 64 frequency bands and does independent processing to each band with respect to gain, ... 

multiband-madness

Multiband Madness

robertobecerra

By using the pfft object in Max MSP I created simple video source of 50 by 50 pixels (50×50 matrix) so it can be used as a control for a LED matrix of the same dimensions.

The process if very simple, by generating a subpatch with pfft, you can get the frequency bin that is being processed at the moment with fftin~, using the sound coming from the computer’s microphone.And from the same object you take the real and imaginary parts of the spectral analysis, with which you can get the amplitude and phase of such bin.

fftinfo~ gives you information about the current subpatch used by pfft~. So I took the Spectral Frame Size so to know the number of bins used by Max.

These numbers are given as signal streams, so they need to be processed with objects with the ~ symbol. And, by scaling them to a the desired range I used the jit.poke object to take this frequency analysis and modify pixels in a a jit.matrix. So, this matrix it displays a spectrogram with standard green to red colours, depending on the amplitude.

The scaling is as such because of the levels of the microphone, volume of the source, active frequency bins, etc. i.e. the frequencies on the upper side of the spectrum showed no activity so I discarded them from the final video output.

The right side of the patch contains the jitter components of the application, creating a matrix of 50 by 50, metro objects to draw and clear the screen, full screen and video and sound recording functions.

There is also some gate~ objects so that the X and Y coordinates are swapped and the visualization of the spectrogram changes from vertical to horizontal… just for the sake of it.

As I said, this low resolution video output is intended to control a large LEDs matrix of the same dimensions on the façade of a building, hence its simplicity.

spectrogram-application

Spectrogram Application

Jakob Hougaard Andersen

The FFT-based binaural panner is not an external, but rather a project that consists of a couple of Max patches and 43 pairs of HRTF-subject files to be read by jit.matrix~.

It was created in 2011 as part of a thesis on the possibilities of binaural synthesis in combination with head-tracking, in an aesthetic/experience-oriented context. In the thesis project, the FFT-based binaural panner is a small, but essential, part of a larger construction in Max, involving sensor-based head-tracking, room simulation, configurable sound- and listener positions etc..

The project is inspired by other Max projects such as Head in Space (http://sites.google.com/site/dariopizzamiglio/projects/head-in-space) and Binaural Tools (http://www.ece.ucdavis.edu/binaural/binaural_tools.html). The FFT-based binaural panner was created to reduce the substantial load on the cpu that comes with convolution in the time-domain. It uses pfft~ to perform an equivalent but 'cheaper' mutliplying process in the frequency-domain.

The panner uses the impulse responses from the CIPIC HRTF database (http://interface.cipic.ucdavis.edu/sound/hrtf.html) but in a frequency-domain and interpolated version.

The project also includes a HRTFSubjectMatcher sub patch, which relies on a java external ('HRTFSubjectMatcher.class'). The HRTFSubjectMatcher tries to match the entered listener measurements with the subjects in the CIPIC database. However it must be mentioned that it is by no means scientifically valid, but might serve at a rudimentary tool for selecting an appropriate HRTF file set.

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