Communication Decipher: Text to Speech and Hand Gesture to Speech Conversion

Bangari, Sowmya R; Shirahatti, Sunita; Veerabhadrappa, S. T.; Suguna, G C; Kavitha, H S

doi:10.1109/icatiece56365.2022.10046699

Cited by 2 publications

(2 citation statements)

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“…[8][9][10][11][12][13][14] These technologies focus on tactile feedback for blind people and neglect the importance of auditory feedback. [15][16][17] A Wearable Braille-to-speech translation system, comprising of a tactile sensor array to capture Braille information DOI: 10.1002/adma.202313518 and a loudspeaker to generate speech information, enables great assistance for blind people to read and speech-impaired people to speak. [18] Seamless integration with textiles is attractive for monitoring tactile information and generating speech due to the advantages of high comfortability, facial fabrication process, and excellent bio-compatibility.…”

Section: Introductionmentioning

confidence: 99%

“…[ 8–14 ] These technologies focus on tactile feedback for blind people and neglect the importance of auditory feedback. [ 15–17 ] A Wearable Braille‐to‐speech translation system, comprising of a tactile sensor array to capture Braille information and a loudspeaker to generate speech information, enables great assistance for blind people to read and speech‐impaired people to speak. [ 18 ]…”

Section: Introductionmentioning

confidence: 99%

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Electrostatic Smart Textiles for Braille‐To‐Speech Translation

Li,

Liu,

et al. 2024

Advanced Materials

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Wearable Braille‐to‐speech translation system is of great importance for providing auditory feedback in assisting blind people and people with speech impairment. However, previous reported Braille‐to‐speech translation systems still need to be improved in terms of comfortability or integration. Here, we report a Braille‐to‐speech translation system that uses dual‐functional electrostatic transducers which are made of fabric‐based materials and can be integrated into textiles. Based on electrostatic induction, the electrostatic transducer can either serve as a tactile sensor or a loudspeaker with the same design. The proposed electrostatic transducers have excellent output performances, mechanical robustness, and working stability. By combining the devices with machine learning algorithms, it is possible to translate Braille alphabet and 40 commonly used words (extensible) into speech with an accuracy of 99.09% and 97.08%, respectively. This work demonstrates a new approach for further developments of advanced assistive technology towards improving the life of disabled people.This article is protected by copyright. All rights reserved

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