Tanja Schultz

TL;DR: The article first outlines the emergence of the silent speech interface from the fields of speech production, automatic speech processing, speech pathology research, and telecommunications privacy issues, and then follows with a presentation of demonstrator systems based on seven different types of technologies.

TL;DR: This paper proposes, in this paper, a survey that focuses on automatic speech recognition (ASR) for under-resourced languages, and a literature review of the recent contributions made.

TL;DR: Different methods for multilingual acoustic model combination and a polyphone decision tree specialization procedure are introduced for estimating acoustic models for a new target language using speech data from varied source languages, but only limited data from the target language.

TL;DR: Results show that measuring hemodynamic responses in the PFC with fNIRS, a non-invasive imaging modality, can be used to robustly quantify and classify mental workload.

TL;DR: It is shown for the first time that continuously spoken speech can be decoded into the expressed words from intracranial electrocorticographic recordings, and this approach contributes to the current understanding of the neural basis of continuous speech production by identifying those cortical regions that hold substantial information about individual phones.