Mathematical model of transformation, recognitions and memorising sound information by human

Autor:	Anastasia E. Pedachenko, Oleksandr V. Polischuk
Rok vydání:	2020
Předmět:	geography geography.geographical_feature_category Computer science Speech recognition Transformation (music) Sound (geography)
Zdroj:	OTORHINOLARYNGOLOGY №5-6(3) 2020. :64-70
ISSN:	2528-8245 2528-8253
DOI:	10.37219/2528-8253-2020-6-64
Popis:	This article is devoted to the development of a mathematical model of a human auditory analyzer based on already proven electrophysiological experimental data and existing mathematical methods for describing the transformation and recognition of sound information. New algorithms for converting, transmitting memorization and recognition of sound information are proposed. The calculations of the error in converting audio information are given, the mathematical principles of adding and combining the source encoded information are described.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::02aab9e6a63d075a7a3a56cb229b3ae8 https://doi.org/10.37219/2528-8253-2020-6-64 Zobrazit plný text záznamu