A Bayesian model of continuous speech recognition is presented. It is based on Shortlist (D.
Norris, 1994; D. Norris, JM McQueen, A. Cutler, & S. Butterfield, 1997) and shares many of …

All words of the languages we know are stored in the mental lexicon. Psycholinguistic
models describe in which format lexical knowledge is stored and how it is accessed when …

The precise role of the human auditory cortex in representing speech sounds and
transforming them to meaning is not yet fully understood. Here we used intracranial …

A perceptual learning experiment provides evidence that the mental lexicon cannot consist
solely of detailed acoustic traces of recognition episodes. In a training lexical decision …

Speech perception requires the decoding of complex acoustic patterns. According to most
cognitive models of spoken word recognition, this complexity is dealt with before lexical …

Sound units play a pivotal role in cognitive models of auditory comprehension. The general
consensus is that during perception listeners break down speech into auditory words and …

Despite the lack of invariance problem (the many‐to‐many mapping between acoustics and
percepts), human listeners experience phonetic constancy and typically perceive what a …

The fields of human speech recognition (HSR) and automatic speech recognition (ASR)
both investigate parts of the speech recognition process and have word recognition as their …

Although the high-variability training method can enhance learning of non-native speech
categories, this can depend on individuals' aptitude. The current study asked how general …

Recent years have seen steady improvements in the quality and performance of speech-
based human-machine interaction driven by a significant convergence in the methods and …