8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Modelling Human Speech Recognition Using Automatic Speech Recognition Paradigms in SpeM

Odette Scharenborg (1), James M. McQueen (2), Louis ten Bosch (1), Dennis Norris (3)

(1) University of Nijmegen, The Netherlands
(2) Max Planck Institute for Psycholinguistics, The Netherlands
(3) Medical Research Council Cognition and Brain Sciences Unit, U.K.

We have recently developed a new model of human speech recognition, based on automatic speech recognition techniques [1]. The present paper has two goals. First, we show that the new model performs well in the recognition of lexically ambiguous input. These demonstrations suggest that the model is able to operate in the same optimal way as human listeners. Second, we discuss how to relate the behaviour of a recogniser, designed to discover the optimum path through a word lattice, to data from human listening experiments. We argue that this requires a metric that combines both path-based and word-based measures of recognition performance. The combined metric varies continuously as the input speech signal unfolds over time.

Full Paper

Bibliographic reference.  Scharenborg, Odette / McQueen, James M. / Bosch, Louis ten / Norris, Dennis (2003): "Modelling human speech recognition using automatic speech recognition paradigms in speM", In EUROSPEECH-2003, 2097-2100.