This paper describes an automatic method for the detec-tion of non-stationarity in speech signals. It is based onthree measures of non-stationarity using Line Spectrum Frequencies (LSFs), the derivative of RMS values, and acombination of these two features. The application of the proposed method to time-scaling of speech signals is also presented. Results from an informal listening test sup-port its usefulness. Following these results, the method seems to be a powerful tool for the automatic control oftime-scale factors based on the characteristics of the in-put speech signal. Listeners preferred our new method over applying a constant time-scale factor in 90% of allcases. Other possible applications of the proposed toolare also discussed.
Cite as: Kapilow, D., Stylianou, Y., Schroeter, J. (1999) Detection of non-stationarity in speech signals and its application to time-scaling. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 2307-2310, doi: 10.21437/Eurospeech.1999-503
@inproceedings{kapilow99_eurospeech,
author={David Kapilow and Yannis Stylianou and Juergen Schroeter},
title={{Detection of non-stationarity in speech signals and its application to time-scaling}},
year=1999,
booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
pages={2307--2310},
doi={10.21437/Eurospeech.1999-503}
}