Shortlist B: A Bayesian model of continuous speech recognition.
Max Planck Society · MRC Cognition and Brain Sciences Unit · +1 more institution
Abstract
A Bayesian model of continuous speech recognition is presented. It is based on Shortlist (D. Norris, 1994; D. Norris, J. M. McQueen, A. Cutler, & S. Butterfield, 1997) and shares many of its key assumptions: parallel competitive evaluation of multiple lexical hypotheses, phonologically abstract prelexical and lexical representations, a feedforward architecture with no online feedback, and a lexical segmentation algorithm based on the viability of chunks of the input as possible words. Shortlist B is radically different from its predecessor in two respects. First, whereas Shortlist was a connectionist model based on interactive-activation principles, Shortlist B is based on Bayesian principles. Second, the…
Citation impact
- FWCI
- 27.81
- Percentile
- 100%
- References
- 163
Authors
2Topics & keywords
- Bayesian probability
- Computer science
- Speech recognition
- Word (group theory)
- Connectionism
- Word recognition
- Segmentation
- Key (lock)
- Peace, Justice and strong institutions