Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

An auditory classifier employing a wavelet neural network implemented in a digital design

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Hughes, J. ; Rochester Inst. of Technol., Motorola, Austin, TX, USA ; Gaborski, R. ; Hsu, K. ; Titus, A.

This work explores the use of a wavelet transform, a feature extractor mechanism, and a neural network to classify audio samples as belonging to either a voice class, or a music class. The proposed system was implemented in a digital design using VHDL and was synthesized with the Synopsys Design Compiler, using the LSI-10 K synthesized library cells with a clock frequency of 11.025 kHz. This design of a wavelet neural network was effective in correctly identifying the test data sets

Published in:

ASIC/SOC Conference, 2001. Proceedings. 14th Annual IEEE International

Date of Conference:

2001