Abstract
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].
Original language | English |
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Title of host publication | INTERSPEECH 2009 |
Subtitle of host publication | 10th annual conference of the International Speech Communication Association |
Place of Publication | Brighton, UK |
Publisher | ISCA-INT SPEECH COMMUNICATION ASSOC |
Pages | 396-399 |
Number of pages | 4 |
Publication status | Published - 2009 |
Externally published | Yes |