We propose a new method for speech recognition in the presence of non-stationary, unpredictable and high-level noise by extending PreFEst (Predominant-F0 Estimation Method) which was developed to estimate melody and bass lines from music signals. The proposed method does not need to know about noise characteristics in advance and does not even estimate them in its process. A small set of evaluations demonstrates the feasibility of the method by showing a good performance even when the background noise is real and non-stationary noise and the SNR is less than 10 dB.
Cite as: Masuda-Katsuse, I. (2001) A new method for speech recognition in the presence of non-stationary, unpredictable and high-level noise. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 1119-1122, doi: 10.21437/Eurospeech.2001-281
@inproceedings{masudakatsuse01_eurospeech,
author={Ikuyo Masuda-Katsuse},
title={{A new method for speech recognition in the presence of non-stationary, unpredictable and high-level noise}},
year=2001,
booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
pages={1119--1122},
doi={10.21437/Eurospeech.2001-281}
}