Giuseppe Mercurio
LIS2SPEECH LIS translation in written text and spoken language.
Rel. Maurizio Morisio. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021
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Abstract
Deaf and hard-of-hearing people can communicate with each other using Sign Languages, but they may have difficulties in connecting with the rest of society. Sign Language Recognition is a field of study that started to be analysed back in 1983, but only in the last decade this task gained more attention. Most of the published works are related to American, Chinese and German sign languages. On the other hand, the number of studies on the Italian Sign Language (LIS) is still scarce. Thus, this work aims to offer a novel mechanism to translate isolated LIS signs into Italian written text and speech.
In order to solve the expressed problem, Neural Networks, Deep Learning and Computer Vision have been exploited to create an application, called LIS2Speech (LIS2S), capable of returning the Italian translation of a LIS sign, performed within a recorded video
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