• MUHAMMAD ALI N
• Gopika Mohan
• Nimmy Saji
• Sreeja J
• Prof. Rejeenth VR

Speech is the most preferred means of communication. Silent speech thus can be analyzed using lip-reading or using facial muscle movements. These signals are processed and matched with the already trained phoneme and then converted into speech. Thus, a silent speech interface has the potential to enable a differently-abled person to speak and interact with people to ease their lives.This project monitors the EMG Outputs so that a confidential and disturbance-less communication happens.Recognition of facial muscle movement and the conversion of these muscle movement into electrical signal relies on EMG sensors.

Silent Speech Recognition, EMG, Faicial Muscle Movements

"Silent Speech Interface for differently Abled", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.a944-a946, June-2021, Available :http://www.jetir.org/papers/JETIR2106133.pdf

"Silent Speech Interface for differently Abled", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppa944-a946, June-2021, Available at : http://www.jetir.org/papers/JETIR2106133.pdf