This paper describes the use of Recogniser Sensitivity Analysis (RSA) for performance assessment of a connected word, speaker independent speech recogniser. A number of speech-production factors were considered and an analysis of variance indicated that relative energy, word duration and speaker consistency were found to account for over 86% of the variability in recognition performance for this data set. Second-order interaction effects between these were not significant indicating that the parameters can be considered independent. This permits the performance to be predicted as a function of each parameter independently. The results confirm the value of RSA both for obtaining diagnostic information about recognition performance, and as a method of predicting performance. Keywords: performance assessment; continuous speech recognition; recogniser sensitivity analysis
Cite as: Winski, R., Kordi, K. (1991) Assessment of continuous speech recognisers using recogniser sensitivity analysis. Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 521-524, doi: 10.21437/Eurospeech.1991-130
@inproceedings{winski91_eurospeech,
author={Richard Winski and Kamran Kordi},
title={{Assessment of continuous speech recognisers using recogniser sensitivity analysis}},
year=1991,
booktitle={Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991)},
pages={521--524},
doi={10.21437/Eurospeech.1991-130}
}