This paper deals with the analysis of quantisation effects in an automatic sound classification system for DSP-based hearing aids. The results obtained in this work will be used to find out the impact of finite accuracy determined by the digital signal processor (DSP) on the users of hearing aids. The DSP has a finite word length that affects the main ability of these systems: the automatic adaptation to the changing acoustic environment. The goal of this work is to model a quantized Neural Network-based classifier in order to compare the probability of error obtained with those non-finite precision systems.

Authors: Alexandre, Enrique; Álvarez, Lorena; Amor, Javier; Gil-Pita, Roberto; Huerta, Ester
Affiliation: Universidad de Alcalá
AES Convention: 124 (May 2008) Paper Number: 7420
Publication Date: May 1, 2008
Subject: Analysis and Synthesis of Sound

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.