The following is concerned with the linguistic components of expressive speech synthesis. It tries to fulfil the role that Huckvale (2002) assigns to the linguist in speech science for speech synthesis. Linguists find models and parameters for the description of language. The semiotic foundations for the study of expressive herein have to be modelled upon a concept that every sign has got a con...

The development of a wearable device-based sign language translator is discussed in this study. It can translate into both speech and text. glove-based gadget read the motions one arm five fingers. system consists an accelerometer flex sensors to measure finger bending motions, respectively. Based on interaction these sensors, recognize specific that American Sign Language (ASL) correspond alph...

Spoken languages use one set of articulators -- the vocal tract, whereas signed languages use multiple articulators, including both manual and facial actions. How sensitive are the cortical circuits for language processing to the particular articulators that are observed? This question can only be addressed with participants who use both speech and a signed language. In this study, we used func...

“Mirror” neurons are found in area F5 of the monkey brain, and they fire both when a monkey grasps an object and when the monkey observes another individual grasping the object (e.g., Rizzolatti et al., 1996; see Arbib, Chapter 1, this volume, for further discussion). Mirror neurons have also been found in the rostral part of the monkey inferior parietal lobule (Gallese et al., 2002). Like mirr...

Prior research on language identification focused primarily on text and speech. In this paper, we focus on the visual modality and present a method for identifying sign languages solely from short video samples. The method is trained on unlabelled video data (unsupervised feature learning) and using these features, it is trained to discriminate between six sign languages (supervised learning). ...