Open Access

Analysis of the IHC Adaptation for the Anthropomorphic Speech Processing Systems

EURASIP Journal on Advances in Signal Processing20052005:492945

https://doi.org/10.1155/ASP.2005.1323

Received: 1 November 2003

Published: 21 June 2005

Abstract

We analyse the properties of the physiological model of the adaptive behaviour of the chemical synapse between inner hair cells (IHC) and auditory neurons. On the basis of the performed analysis, we propose equivalent structures of the model for implementation in the digital domain. The main conclusion of the analysis is that the synapse reservoir model is equivalent in its properties to the signal-dependent automatic gain-control mechanism. We plot guidelines for creation of artificial anthropomorphic algorithms, which exploit properties of the original synapse model. This paper also presents a concise description of the experiments, which prove the presence of the positive effect from the introduction of the depicted anthropomorphic algorithm into feature extraction of the automated speech recognition engine.

Keywords and phrases

inner hair cell (IHC)Meddis IHC modelIHC adaptationauditory modelsmodulation spectrum filtering

Authors’ Affiliations

(1)
Computer Engineering Department, the Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus
(2)
Real-Time Systems Department, the Bialystok Technical University, Bialystok, Poland

Copyright

© Ivanov and Petrovsky 2005