Soundscape Design Through Evolutionary Engines
Copyright policy )Soundscape Design Through Evolutionary Engines
AbstractTwo implementations of an Evolutionary Sound Synthesis method using the Interaural Time Difference (ITD) and psychoacoustic descriptors are presented here as a way to develop criteria for fitness evaluation. We also explore a relationship between adaptive sound evolution and three soundscape characteristics: keysounds, key-signals and sound-marks. Sonic Localization Field is defined using a sound attenuation factor and ITD azimuth angle, respectively (Ii, Li). These pairs are used to build Spatial Sound Genotypes (SSG) and they are extracted from a waveform population set. An explanation on how our model was initially written in MATLAB is followed by a recent Pure Data (Pd) implementation. It also elucidates the development and use of: parametric scores, a triplet of psychoacoustic descriptors and the correspondent graphical user interface.
- State University of Campinas Brazil
- University of Jyväskylä Finland
- Quest University Canada Canada
sound synthesis, Artificial intelligence, Environmental Sound Recognition, Sociology, Avian Vocal Communication and Evolutionary Implications, Sound (geography), Audio Event Detection, Physics, Statistics, Life Sciences, Sound design, Programming language, FOS: Sociology, Interactive Evolutionary Music Systems and Instruments, Physical Sciences, Telecommunications, Computer Vision and Pattern Recognition, Sound Synthesis, Computer Science(all), Psychoacoustics, MATLAB, Population, Audio Signal Classification and Analysis, Geometry, Set (abstract data type), Noise (video), Speech recognition, Acoustic Ecology, genetic algorithms, Azimuth, Biochemistry, Genetics and Molecular Biology, FOS: Mathematics, Image (mathematics), Biology, Demography, sonic spatialization, Radar, artificial evolution, acoustic descriptors, Waveform, Acoustic Scene Classification, Acoustics, Computer science, Parametric statistics, Soundscape, Computer Science, Signal Processing, Perception, Mathematics, Developmental Biology, Neuroscience
sound synthesis, Artificial intelligence, Environmental Sound Recognition, Sociology, Avian Vocal Communication and Evolutionary Implications, Sound (geography), Audio Event Detection, Physics, Statistics, Life Sciences, Sound design, Programming language, FOS: Sociology, Interactive Evolutionary Music Systems and Instruments, Physical Sciences, Telecommunications, Computer Vision and Pattern Recognition, Sound Synthesis, Computer Science(all), Psychoacoustics, MATLAB, Population, Audio Signal Classification and Analysis, Geometry, Set (abstract data type), Noise (video), Speech recognition, Acoustic Ecology, genetic algorithms, Azimuth, Biochemistry, Genetics and Molecular Biology, FOS: Mathematics, Image (mathematics), Biology, Demography, sonic spatialization, Radar, artificial evolution, acoustic descriptors, Waveform, Acoustic Scene Classification, Acoustics, Computer science, Parametric statistics, Soundscape, Computer Science, Signal Processing, Perception, Mathematics, Developmental Biology, Neuroscience
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