13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Modeling Cue Trading in Human Word Recognition

Louis ten Bosch (1,3), Odette Scharenborg (2,3)

(1) Centre for Language and Speech Technology, Radboud University Nijmegen, The Netherlands
(2) Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
(3) Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, The Netherlands

Classical phonetic studies have shown that acoustic-articulatory cues can be interchanged without affecting the resulting phoneme percept (ecue tradingf). Cue trading has so far mainly been investigated in the context of phoneme identification. In this study, we investigate cue trading in word recognition, because words are the units of speech through which we communicate. This paper aims to provide a method to quantify cue trading effects by using a computational model of human word recognition. This model takes the acoustic signal as input and represents speech using articulatory feature streams. Importantly, it allows cue trading and underspecification. Its set-up is inspired by the functionality of Fine-Tracker, a recent computational model of human word recognition. This approach makes it possible, for the first time, to quantify cue trading in terms of a trade-off between features and to investigate cue trading in the context of a word recognition task.

Index Terms: cue trading, human word recognition, computational modeling, articulatory features

Full Paper

Bibliographic reference.  Bosch, Louis ten / Scharenborg, Odette (2012): "Modeling cue trading in human word recognition", In INTERSPEECH-2012, 2005-2008.