A simple solution to the word spotting problem is experimented. Continuous Speech Recognition (CSR) techniques are adopted, with the background speech represented by a filler templates set defined through vector quantization algorithms. Quantitative results about the performed experiments are given. Keywords: Word Spotting, Continuous Speech Recognition, Vector Quantization.
Cite as: Falaschi, A., Micozzi, A. (1991) Word spotting by CSR through vector quantized background models. Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 1187-1190, doi: 10.21437/Eurospeech.1991-171
@inproceedings{falaschi91b_eurospeech,
author={Alessandro Falaschi and Alfredo Micozzi},
title={{Word spotting by CSR through vector quantized background models}},
year=1991,
booktitle={Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991)},
pages={1187--1190},
doi={10.21437/Eurospeech.1991-171}
}