Connectionist models of perception and cognition, including the process of deducing
meaningful messages from patterns of acoustic waves emitted by vocal tracts, are …

Speech offers a viable domain for developing and testing models of perception, pattern
recognition, and categorisation. There has been a tradition of fairly elaborate theories of …

What is the neural representation of a speech code as it evolves in time? How do listeners
integrate temporally distributed phonemic information across hundreds of milliseconds, even …

The full power of combining experiment and theory has yet to be unleashed on studies of the
neural mechanisms in the brain involved in acoustic information processing. In recent years …

This paper aims to show how we can make progress in elucidating how people understand
speech by changing our focus of inquiry from abstraction of formal units of linguistic analysis …

Representational choices are crucial to the success of connectionist modelling. Most
previous models of auditory word perception in continuous speech have relied upon a …

Speech perception includes, minimally, the set of computations that transform continuously
varying acoustic signals into linguistic representations that can be used for subsequent …

Considerable research in language acquisition has addressed the extent to which basic
aspects of linguistic structure might be identified on the basis of probabilistic cues in …

Computational models of speech pattern processing might be able to benefit a lot from
sound and speech perception by humans. Psycho-acoustics has given us insight into the …

We describe a model of speech perception [based on the Interactive Activation Model of
Visual Word Perception (cf. McClelland and Rumelhart, in press; Rumelhart and McClelland …