Abstract
Recently, Lim and Harris (see IEEE International Symposium on Circuits and Systems, p.277-80, June 1998) developed a novel spectral representation called the ratio spectrum. The ratio spectrum is formed by taking the ratio of the power of a low pass filtered signal to the power of the original unfiltered signal for all filter cutoff frequencies. Features extracted from the ratio spectrum have proven to be promising for phoneme recognition and speech compression. In this work we have shown that the ratio spectrum feature sets are competitive with standard feature sets used for automatic speech recognition. To understand the underlying properties of the ratio spectrum that contribute to the generation of a useful feature set, we derived the analytic expressions that describe the behavior of the ratio spectrum for a white noise model.
Recommended Citation
M. D. Skowronski and J. G. Harris, "A Probabilistic Analysis Of The Ratio Spectrum," IEEE 2000 Adaptive Systems for Signal Processing Communications and Control Symposium as Spcc 2000, pp. 333 - 336, article no. 882495, Institute of Electrical and Electronics Engineers, Jan 2000.
The definitive version is available at https://doi.org/10.1109/ASSPCC.2000.882495
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-078035800-3
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2000
