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Research Paper | Digital Communications | India | Volume 12 Issue 3, March 2023
Silent Sound Technology
Ramesh Bokhani | Manish Joshi
Abstract: This time every person has the enjoy of talking aloud within the cellular cellphone within the midst of the disturbance whilst travelling in trains or buses. There's no need of shouting anymore for this purpose. 'Silent sound technology' is the solution to this problem. When demonstrated, it appears to detect each lip movement and internally converts the electrical pulses into sound signals and sends them neglecting all different surrounding noises. it is genuinely going to be an amazing answer for those feeling irritated while different speak loud over cellphones. The purpose of "Silent Sound" technology is to track every movement of the lips and transform them into sounds, enabling people to conduct private conversations without disturbing others or assisting those who have lost their voices. Your handset would interpret the motions of your mouth by detecting muscle activity rather than producing any noises, and then translate these movements into words that the person on the other end of the conversation can hear. It basically scans your lips, then. When someone loses their voice while speaking, this new technology will come in extremely handy. It also makes it possible for people to make quiet calls without bothering Even we have the ability to disclose our PIN to a dependable friend or family without anyone listening in. The listener may clearly hear a voice on the other end. This technology's wonderful addition is that "it is an instant polyglot,? meaning that gestures may be translated into the user's preferred language instantly. For languages like English, French, and German, this translation is accurate. Yet various tones can have a wide variety of meanings in languages like Mandarin. This creates a concern because it is predicted that in five to ten years, this technology will be part of everyday life.
Keywords: Electromyography, Image Processing Muscular movements, Analog Image, Digital Image, Noisy, Vocals Recognition
Edition: Volume 12 Issue 3, March 2023,
Pages: 1 - 3