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- W2398342217 abstract "In previous publications, a silent speech interface based on permanent-magnetic articulography (PMA) has been introduced and evaluated using standard automatic speech recognition techniques. However, word recognition is a task that is computationally expensive and introduces a significant time delay between speech articulation and generation of the acoustic signal. This paper investigates a direct synthesis approach where control parameters for parametric speech synthesis are generated directly from the sensor data of the silent speech interface, without an intermediate lexical representation. Users of such a device would not be tied to the limited vocabulary of a word-based recogniser and could therefore express themselves more freely. This paper presents a feasibility study that investigates whether it is possible to infer speech synthesis parameters from PMA sensor data" @default.
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- W2398342217 date "2011-08-27" @default.
- W2398342217 modified "2023-09-26" @default.
- W2398342217 title "Speech synthesis parameter generation for the assistive silent speech interface MVOCA" @default.
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- W2398342217 doi "https://doi.org/10.21437/interspeech.2011-753" @default.
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