Efficient Isolated Speech to Sign Conversion Based on the Adaptive Rate Processing-Reference-Cited by-同舟云学术

Efficient Isolated Speech to Sign Conversion Based on the Adaptive Rate Processing

Published:2019 Issue: Volume:163 Page:35-40
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Qaisar Saeed Mian,Niyazi Sarah,Subasi Abdulhamit

Publisher

Elsevier BV

Subject

General Engineering

Reference23 articles.

1. Chung, J. S., & Zisserman, A. (2016). “Signs in time: Encoding human motion as a temporal image.” arXiv preprint arXiv:1608.02059.

2. Boulic, R., Ahn, J., Gobron, S., Wang, N., Silvestre, Q.,and Thalmann, D. (2017). “Towards the Instantaneous Expression of Emotions with Avatars” Cyberemotions: 255–278.

3. Detecting Memory Impairment in Deaf People: A New Test of Verbal Learning and Memory in British Sign Language;Denmark;Archives of Clinical Neuropsychology,2016

4. Automatic recognition of the American sign language fingerspelling alphabet to assist people living with speech or hearing impairments;Quesada;Journal of Ambient Intelligence and Humanized Computing,2017

5. Rayner, E., Bouillon, P., Gerlach, J., Strasly, I., Tsourakis, N.,and Ebling, S. (2016) “An OpenWeb Platform for Rule-Based Speech-to-Sign Translation”

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