35,764 research outputs found
Towards Understanding Spontaneous Speech: Word Accuracy vs. Concept Accuracy
In this paper we describe an approach to automatic evaluation of both the
speech recognition and understanding capabilities of a spoken dialogue system
for train time table information. We use word accuracy for recognition and
concept accuracy for understanding performance judgement. Both measures are
calculated by comparing these modules' output with a correct reference answer.
We report evaluation results for a spontaneous speech corpus with about 10000
utterances. We observed a nearly linear relationship between word accuracy and
concept accuracy.Comment: 4 pages PS, Latex2e source importing 2 eps figures, uses icslp.cls,
caption.sty, psfig.sty; to appear in the Proceedings of the Fourth
International Conference on Spoken Language Processing (ICSLP 96
Robust semantic analysis for adaptive speech interfaces
The DUMAS project develops speech-based applications that are adaptable to different users and domains. The paper describes the project's robust semantic analysis strategy, used both in the generic framework for the development of multilingual speech-based dialogue systems which is the main project goal, and in the initial test application, a mobile phone-based e-mail interface
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