Paper: | SP-P4.1 | ||
Session: | Topics in Speech Understanding Systems | ||
Time: | Tuesday, May 18, 15:30 - 17:30 | ||
Presentation: | Poster | ||
Topic: | Speech Processing: Spoken Language Systems and Dialog | ||
Title: | BOOTSTRAP ESTIMATES FOR CONFIDENCE INTERVALS IN ASR PERFORMANCE EVALUATION | ||
Authors: | Maximilian Bisani; RWTH Aachen | ||
Hermann Ney; RWTH Aachen | |||
Abstract: | The field of speech recognition has clearly benefited from precisely defined testing conditions and objective performance measures such as word error rate. In the development and evaluations of new methods, the question arises whether the empirically observed difference in performance is due to a genuine advantage of one system over the other, or just an effect of chance. However still many publications do not concern themselves with the statistical significance of the results reported. In this paper we present a bootstrap method for significance analysis which is at the same time intuitive, precise and and easy to use. Unlike other previously proposed methods, we make no (possibly ill-founded) approximations and the results are immediately interpretable in terms of word error rate. | ||
Back |
Home -||-
Organizing Committee -||-
Technical Committee -||-
Technical Program -||-
Plenaries
Paper Submission -||-
Special Sessions -||-
ITT -||-
Paper Review -||-
Exhibits -||-
Tutorials
Information -||-
Registration -||-
Travel Insurance -||-
Housing -||-
Workshops