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Over the past decade, several speech-based electronic assistive technologies (EATs) have been developed that target users with dysarthric speech. These EATs include vocal command & control systems, but also voice-input voice-output communication aids (VIVOCAs). In these systems, the vocal interfaces are based on automatic speech recognition systems (ASR), but this approach requires much training...
Speech technology is firmly rooted in daily life, most notably in command-and-control (C&C) applications. C&C usability downgrades quickly, however, when used by people with non-standard speech. We pursue a fully adaptive vocal user interface (VUI) which can learn both vocabulary and grammar directly from interaction examples, achieving robustness against non-standard speech by building up...
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