Multimodal Lip-Reading for Tracheostomy Patients in the Greek Language
نویسندگان
چکیده
Voice loss constitutes a crucial disorder which is highly associated with social isolation. The use of multimodal information sources, such as, audiovisual information, since it can lead to the development straightforward personalized word prediction models reproduce patient’s original voice. In this work we designed approach based on from patients before loss-of-voice develop system for automated lip-reading in Greek language. Data pre-processing methods, lip-segmentation and frame-level sampling techniques were used enhance quality imaging data. Audio was incorporated model automatically annotate sets frames as words. Recurrent neural networks trained four different video recordings robust model. able correctly identify test words time 95% accuracy. To our knowledge, first that recognize
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ژورنال
عنوان ژورنال: Computers
سال: 2022
ISSN: ['2073-431X']
DOI: https://doi.org/10.3390/computers11030034