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To investigate the neural underpinnings of word decoding, and how it changes as a function of repeated exposure, we trained Dutch participants repeatedly over the course of a month of training to arti...
An ability to decode semantic information from fMRI spatial patterns has been demonstrated in previous studies mostly for 1 specific input modality. In this study, we aimed to decode semantic category...
This study develops a neurocomputational architecture for grammatical processing in language production and language comprehension (grammatical encoding and decoding, respectively). It seeks to answer...
Brain-computer interfaces (BCIs) are systems that use real-time analysis of neuroimaging data to determine the mental state of their user for purposes such as providing neurofeedback. Here, we investi...
Generalization of Extended Baum-Welch Parameter Estimation for Discriminative Training and Decoding.
The previously proposed syllable-synchronous network search (SSNS) algorithm plays a very important role in the word decoding of the continuous Chinese speech recognition and achieves a satisfying per...
In this paper a fast and effective algorithmnamed equal feature variance sum(EFVS) frame-synchronous searching is presented for state decoding. EFVS controls the state transition byusing only the feat...
The Chinese language is syllabic in nature with frequent homonym phenomena and severe word boundary uncertainty problem. This makes the Chinese continuous speech recognition(CSR) slightly difficult. I...

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