Comparing methods to find a best exemplar in a multidimensional space

Titia Benders; Paul Boersma

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 proceeding › Conference proceeding contribution › peer-review

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 language	English
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

Cite this

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title = "Comparing methods to find a best exemplar in a multidimensional space",

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].",

author = "Titia Benders and Paul Boersma",

year = "2009",

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pages = "396--399",

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Comparing methods to find a best exemplar in a multidimensional space. / Benders, Titia; Boersma, Paul.
INTERSPEECH 2009: 10th annual conference of the International Speech Communication Association. Brighton, UK: ISCA-INT SPEECH COMMUNICATION ASSOC, 2009. p. 396-399.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Comparing methods to find a best exemplar in a multidimensional space

AU - Benders, Titia

AU - Boersma, Paul

PY - 2009

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N2 - 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].

AB - 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].

UR - https://www.scopus.com/pages/publications/70450187035

M3 - Conference proceeding contribution

AN - SCOPUS:70450187035

SP - 396

EP - 399

BT - INTERSPEECH 2009

PB - ISCA-INT SPEECH COMMUNICATION ASSOC

CY - Brighton, UK

ER -

Comparing methods to find a best exemplar in a multidimensional space

Abstract

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