The magnetic resonance imaging (MRI) is a technique that facilitates examination of the human body. In my presentation, I will introduce examples of advanced MRI techniques, such as diffusion tensor imaging (DTI), applied to a brain-related research project. By employing MRI and DTI, along with specialized computational workflows, developed for this project, we attempted to decipher the neurona...

There is an increasing need for automatic procedures to generate and validate phonetic transcriptions. As the production of manual phonetic transcriptions tends to be time-consuming, error-prone and costly, procedures have been developed to derive phonetic transcriptions automatically by means of automatic speech recogni­ tion technology. Such automatic phonetic transcrip­ tions are usually val...

Much research has explored how spoken word recognition is influenced by the architecture and dynamics of the mental lexicon (e.g., Luce and Pisoni, 1998; McClelland and Elman, 1986). A more recent question is whether the processes underlying word recognition are unique to the auditory domain, or whether visually perceived (lipread) speech may also be sensitive to the structure of the mental lex...

This paper describes a new approach to ZIP code recognition using a word recognition algorithm, where a numeral string is recognized as a word. This paper also describes an end to end ZIP code recognition system consisting of tiltlslant correction, line segmentation, word segmentation, ZIP code location, as well as the ZIP code recognition. Evaluation tests are performed using address block ima...

 Background: According to previous studies, most of the speech recognition disorders in older adults are the results of deficits in audibility and auditory temporal resolution. In this paper, the effect of ageing on timecompressed speech and auditory temporal resolution by word recognition in continuous and interrupted noise was studied. Methods: A time-compressed speech test (TCST) w...

This paper discusses four experiments on Dutch which show that distinctive phonological features differ in their relevance for word recognition. The relevance of a feature for word recognition depends on its phonological stability, that is, the extent to which that feature is generally realized in accordance with its lexical specification in the relevant word position. If one feature value is u...

This paper describes an efficient method to predict words whose recognition rates are low. This method is based on the idea that the minimum value of the word pair recognition rates corresponds to the word recognition rate. The word pair recognition rates can be calculated by the measured distributions of phoneme log likelihood difference. The proposed method was evaluated by recognition experi...

Evidence that listeners, at least in a laboratory environment, use durational cues to help resolve temporarily ambiguous speech input has accumulated over the past decades. This paper introduces Fine-Tracker, a computational model of word recognition specifically designed for "tracking" fine-phonetic information in the acoustic speech signal and using it during word recognition. Two simulations...

A discrete-trial color naming (Stroop) paradigm was used to examine activation along orthographic and phonological dimensions in visual and auditory word recognition. Subjects were presented with a prime word, either auditorally or visually, followed 200 msec later by a target word printed in a color. The orthographic and phonological similarity of prime target pairs varied. Color naming latenc...