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

Jonathan Hughes; Roger Gaborski; Ken Hsu; Albert Titus

doi:10.1109/ASIC.2001.954664

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

Jonathan Hughes
, Roger Gaborski
, Ken Hsu
, Albert Titus

Department of Biomedical Engineering

Rochester Institute of Technology
Motorola

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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 Synopsys Design Compiler, using the LSI-10K synthesized library cells with a clock frequency of 11.025KHz. This design of a wavelet neural network was effective in correctly identifying the test data sets.

Original language	English
Pages (from-to)	8-12
Number of pages	5
Journal	Proceedings of the Annual IEEE International ASIC Conference and Exhibit
DOIs	https://doi.org/10.1109/ASIC.2001.954664
State	Published - 2001

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10.1109/ASIC.2001.954664

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abstract = "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 Synopsys Design Compiler, using the LSI-10K synthesized library cells with a clock frequency of 11.025KHz. This design of a wavelet neural network was effective in correctly identifying the test data sets.",

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AB - 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 Synopsys Design Compiler, using the LSI-10K synthesized library cells with a clock frequency of 11.025KHz. This design of a wavelet neural network was effective in correctly identifying the test data sets.

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

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