Factores determinantes en el cálculo de la aspereza de señales acústicas por el método de Aures

Abstract

[EN] This work deals with the objective computation of roughness, a fundamental perceptive attribute of acoustic signals. Starting from the general theory of roughness, the Aures model, that describes this sensation as a series of proccesses that take place withing the human hearing, has been implemented in PC. A version of this model due to Daniel and Weber has been optimized. The inclusion of a threshold level of specificic excitations in the 24 subjective frequency bands, to contribute to perception, is perhaps the more relevant contribution. The computational model has been tested for a large set of characteristic signals, of well known subjective roughness, showing a good agreement.

[ES] En este trabajo se implementa un modelo computacional para el cálculo objetivo de la aspereza de señales acústicas siguiendo el modelo de Aures con las optimizaciones de Daniel y Weber, contrastado para señales moduladas en amplitud y en frecuencia con los datos disponibles en la literatura para este tipo de señales.