In this paper a method to analyze pathological speech signal using wavelet transform is suggested. Pathological speech signal is commercially available pathological voice database and analyzed by the suggested method. Normal speech signal is also from the same database and analyzed as well. Then the results are compared to find the differences between normal and pathological speech. Three level wavelet transform is used. Normalized energy ratios between the levels and normalized peak-to-peak values are used as parameters. As a result, it was possible to distinguish between normal and pathological speech signal.
Cite as: Jo, C.-W., Kim, D.-H. (1998) Analysis of disordered speech signal using wavelet transform. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0691, doi: 10.21437/ICSLP.1998-783
@inproceedings{jo98c_icslp,
author={Cheol-Woo Jo and Dae-Hyun Kim},
title={{Analysis of disordered speech signal using wavelet transform}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0691},
doi={10.21437/ICSLP.1998-783}
}