Visuomotor prism adaptation has been found to induce a lateral bias of spatial attention in chronic hemispatial neglect patients. Here, two experiments were conducted to explore the effects of 10 degrees prism adaptation on visual search tasks and standard visual inattention tests. Baselines and intervention effects were measured on separate days for all patients. The first experiment explored ...

Case-based regression often relies on simple case adaptation methods. This paper investigates new approaches to enriching the adaptation capabilities of case-based regression systems, based on the use of ensembles of adaptation rules generated from the case base. The paper explores both local and global methods for generating adaptation rules from the case base, and presents methods for ranking...

This paper presents experiments of unsupervised adaptation for a speaker detection system. The system used is a standard speaker verification system based on cepstral features and Gaussian mixture models. Experiments were performed on cellular speech data taken from the NIST 2002 speaker detection evaluation. There was a total of about 30.000 trials involving 330 target speakers and more than 9...

This paper applies some of the current mesh adaptation approaches to the high-order Spectral Difference (SD) method and investigates their performance on modeling inviscid steady flow. In particular, an entropy-based adjoint approach is used as the adaptation criterion. Both h-, p-refinement and p-coarsening are implemented. A mortar element method is used for treatment of non-conforming interf...

This document summarizes adaptation experiments done on French MediaParl corpus and other French corpora. Baseline adaptation techniques are briefly presented and evaluated in the MediaParl task for speaker adaptation, speaker adaptive training, database combination and environmental adaptation. Results show that by applying baseline adaptation techniques, a relative WER reduction of up to 22.8...

To date, the performance of speech and language recognition systems is poor on non-native speech. The challenge for nonnative speech recognition is to maximize the accuracy of a speech recognition system when only a small amount of nonnative data is available. We report on the acoustic model adaptation for improving the recognition of non-native speech in English, French and Vietnamese, spoken ...

Speech is usually observed after passing through some form of “channel” that results in distortions. For some scenarios it is possible to build explicit models of this channel distortion and hence compensate the acoustic models. However the accuracy of the distortion model is sometimes poor and more general adaptation approaches are required. This paper investigates these model-based approaches...

The aim of speaker adaptation techniques is to enhance the speaker-independent acoustic models to bring their recognition accuracy as close as possible to the one obtained with speaker-dependent models. Recently, a technique based on hierarchical structure and the maximum a posteriori criterion was proposed (SMAP). In this paper, like in SMAP, we assume that the acoustic models parameters are o...

Speaker adaptation is an important step in optimization and personalization of the performance of automatic speech recognition (ASR) for individual users. While many applications target in rapid adaptation by various global transformations, slower adaptation to obtain a higher level of personalization would be useful for many active ASR users, especially for those whose speech is not recognized...