@inproceedings{,
author={Paczolay, D{\'e}nes and Kocsor, Andr{\'a}s and T{\'o}th, L{\'a}szl{\'o}},
title={Real-Time Vocal Tract Length Normalization in a Phonological Awareness Teaching
System},
abstract={Speaker normalization in a speech recognition can significantly improve
speech recognition accuracy. One such method, vocal tract length normalization
(VTLN), is especially useful when the system has to work reliably for males,
females and children. It is just this situation with our phonological awareness
teaching system, the "SpeechMaster", which aims at real-time phoneme recognition
and feedback. As most VTLN algorithms work off-line, this poses the additional
problem of real-time operation. This paper examines how a well-known off-line
algorithm can be approximated on-line by machine learning regression techniques.
We conclude that, by employing a real-time estimation of VTLN parameters,
the recognition error can be reduced by some 14-24 %. },
booktitle={Text, Speech and Dialogue: 6th International Conference, TSD 2003, vol.
2807},
year={2003},
month={September},
publisher={Springer-Verlag GmbH },
address={{\`E}esk{\'e} Bud{\'e}jovice, Czech Republic},
editor={Matousek, V., Mautner, P.},
pages={309-314}
}