This paper provides an overview of the Recogniser Sensitivity Analysis (RSA) methodology, under development by Logica within the UK Alvey Speech Technology Assessment (STA) project MMI/132, for assessing the performance of automatic speech recognition systems, both as products and as algorithms under development. The applicability of the method for predicting likely field performance in a particular application as well as its diagnostic capability will be discussed. Preliminary results indicate a very strong correlation between certain parameter values and recogniser performance as well as the potential for predicting field performance with limited data. The paper concludes with a discussion on future directions for extending RSA.
Cite as: Peckham, J., Thomas, T., Frangoulis, E. (1989) Recogniser sensitivity analysis: trial results and future directions. Proc. Speech Input/Output Assessment and Speech Databases, Vol.2, 119-126
@inproceedings{peckham89_sioa,
author={Jeremy Peckham and Trevor Thomas and E. Frangoulis},
title={{Recogniser sensitivity analysis: trial results and future directions}},
year=1989,
booktitle={Proc. Speech Input/Output Assessment and Speech Databases},
pages={Vol.2, 119-126}
}