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Sound Spatialisation in [[Pure Data]] | Sound Spatialisation in [[Pure Data]] | ||
* [http://grh.mur.at/publications/sound-spatialization-pd Sound Spatialisation in Pd] a beautiful Tutorial by Georg Holzmann | * [http://grh.mur.at/publications/sound-spatialization-pd Sound Spatialisation in Pd] a beautiful Tutorial by Georg Holzmann | ||
* [http://www.york.ac.uk/music/mrc/software/objects Ambilib] - a collection of external objects for Pure Data and Max/MSP | * [http://www.york.ac.uk/music/mrc/software/objects Ambilib] - a collection of external objects for Pure Data and Max/MSP | ||
* [http://iem.at/ | * [http://iem.kug.ac.at/projects/workspace/projekte-bis-2008/acoustics/awt/bin-ambi.html bin_ambi] – Real-Time Rendering Engine for Virtual (Binaural) Sound Reproduction | ||
* [http://crca.ucsd.edu/~yadegari/space.html space~] by Shahrokh Yadegari | * [http://crca.ucsd.edu/~yadegari/space.html space~] by Shahrokh Yadegari | ||
* [http://sourceforge.net/projects/shenonono Shenonono] is a series of objects and patches for Pure Data that specialise in the performance and production of surround sound using the ambisonic format | |||
* [http://wiki.dataflow.ws/PdMtlAbstractions PdMtl Abstractions] have some nice Ambisonics abstractions | |||
Convolution with impulse responses in [[Pure Data]] | Convolution with impulse responses in [[Pure Data]] | ||
Revision as of 23:33, 26 May 2013
- wikipedia:Spatialisation
- wikipedia:Precedence effect – Law of first wavefront
- Vector base amplitude panning (vbap)
- wikipedia:Ambisonics
- wikipedia:Wave field synthesis
- IOSONO wave field synthesis system at the media faculty
Sound Spatialisation in Pure Data
- Sound Spatialisation in Pd a beautiful Tutorial by Georg Holzmann
- Ambilib - a collection of external objects for Pure Data and Max/MSP
- bin_ambi – Real-Time Rendering Engine for Virtual (Binaural) Sound Reproduction
- space~ by Shahrokh Yadegari
- Shenonono is a series of objects and patches for Pure Data that specialise in the performance and production of surround sound using the ambisonic format
- PdMtl Abstractions have some nice Ambisonics abstractions
Convolution with impulse responses in Pure Data
- [bsaylor/partconv~]
- [cyclone/buffir~]
- [earplug~/earplug~]
- [iemlib/FIR~]