Abstract
A dynamic oscillator-based model of the sequencing of phonemes in speech production (OSCAR) is described. An analysis of phoneme movement errors (anticipations, perseverations, and exchanges) from a large naturalistic speech error corpus provides a new set of data suitable for quantitative modeling and is used to derive a set of constraints that any speech-production model must address. The new computational model is shown to account for error type proportions, movement error distance gradients, the syllable-position effect, and phonological similarity effects. The model provides an alternative to frame-based accounts, serial buffer accounts, and associative chaining theories of serial order processing in speech.
Original language | English |
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Pages (from-to) | 101-175 |
Number of pages | 75 |
Journal | Applied Cognitive Psychology |
Volume | 41 |
Issue number | 2 |
DOIs | |
Publication status | Published - Sept 2000 |
Externally published | Yes |
Keywords
- Model
- Oscillators
- Speech errors
- Speech production
ASJC Scopus subject areas
- Experimental and Cognitive Psychology
- Linguistics and Language