Comparing methods to find a best exemplar in a multidimensional space

Titia Benders*, Paul Boersma

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

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 languageEnglish
Title of host publicationINTERSPEECH 2009
Subtitle of host publication10th annual conference of the International Speech Communication Association
Place of PublicationBrighton, UK
PublisherISCA-INT SPEECH COMMUNICATION ASSOC
Pages396-399
Number of pages4
Publication statusPublished - 2009
Externally publishedYes

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  • Cite this

    Benders, T., & Boersma, P. (2009). Comparing methods to find a best exemplar in a multidimensional space. In INTERSPEECH 2009: 10th annual conference of the International Speech Communication Association (pp. 396-399). Brighton, UK: ISCA-INT SPEECH COMMUNICATION ASSOC.