6533b872fe1ef96bd12d2c94

RESEARCH PRODUCT

Optimizing auditory images and distance metrics for self‐organizing timbre maps*

Petri Toiviainen

subject

Quantitative Biology::Neurons and CognitionVisual Arts and Performing Artsbusiness.industryRating matrixPattern recognitionImage (mathematics)Set (abstract data type)Similarity (network science)Computer Science::SoundComputer visionArtificial intelligencebusinessGradient methodTimbreMusicDistance matrices in phylogenyMathematics

description

Abstract The effect of using different auditory images and distance metrics on the final configuration of a self‐organized timbre map is examined by comparing distance matrices, obtained from simulations, with a similarity rating matrix, obtained using the same set of stimuli as in the simulations. Gradient images, which are intended to represent idealizations of physiological gradient maps in the auditory pathway, are constructed. The optimal auditory image and distance metric, with respect to the similarity rating data, are searched using the gradient method.

yearjournalcountryeditionlanguage
1996-03-01Journal of New Music Research
https://doi.org/10.1080/09298219608570695