We present a simple algorithm for running a listening experiment aimed at finding the best exemplar in a multidimensional space. For simulated humanlike listeners, who have perception thresholds and some decision noise on their responses, the algorithm on average ends up twelve times closer than Iverson and Evans algorithm [1].
Iverson, P. and Evans, B.G., A goodness optimization method for investigating phonetic categorization, Paper presented at the 15th International Conference of Phonetic Sciences, 2003.
Cite as: Benders, T., Boersma, P. (2009) Comparing methods to find a best exemplar in a multidimensional space. Proc. Interspeech 2009, 396-399, doi: 10.21437/Interspeech.2009-134
@inproceedings{benders09_interspeech,
author={Titia Benders and Paul Boersma},
title={{Comparing methods to find a best exemplar in a multidimensional space}},
year=2009,
booktitle={Proc. Interspeech 2009},
pages={396--399},
doi={10.21437/Interspeech.2009-134}
}