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- W2937532208 abstract "Sign language conveys information through multiple channels, such as hand shape, hand movement, and mouthing. Modeling this multichannel information is a highly challenging problem. In this paper, we elucidate the link between spoken language and sign language in terms of production phenomenon and perception phenomenon. Through this link we show that hidden Markov model-based approaches developed to model articulatory features for spoken language processing can be exploited to model the multichannel information inherent in sign language for sign language processing." @default.
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- W2937532208 date "2019-05-01" @default.
- W2937532208 modified "2023-09-24" @default.
- W2937532208 title "HMM-based Approaches to Model Multichannel Information in Sign Language Inspired from Articulatory Features-based Speech Processing" @default.
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- W2937532208 doi "https://doi.org/10.1109/icassp.2019.8683167" @default.
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