International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI for Silent Speech Recognition ( Lip Reading AI )

Author(s) Mr. Dhvaneeth P Banakar, Dr. Ganavi M, Mr. Gurukiran S G, Mr. Gagan Deep T V, Mr. Jagath M D
Country India
Abstract Silent Speech Recognition using artificial intelligence has made a progressive technology for interpreting spoken language without relying on acoustic signals. This work influence the planning and building of a lip-reading system that leverages computer view and deep learning mechanism to translate visual speech cues into text. The suggested model integrates spatial and sequential neural networks to learn visual and periodic dynamics of lip movements, enabling accurate recognition even in noisy or sound-restricted environments. Beyond assisting individuals with speech or hearing impairments, the system demonstrates applicability in secure communication, healthcare, and defense, where silent or noise-independent interaction is essential. Experimental evaluation highlights the solidity of the model in handling variations in speakers, lighting, and video quality, with promising results in real-time recognition of isolated words and continuous speech. The study underscores the potential of SSR to enhance accessibility, privacy, and inclusivity in human–computer interaction, while paving the way for future improvements through multilingual support, multimodal integration, and deployment on portable devices.
Keywords Silent Speech Recognition, Convolutional Neural Networks, Recurrent Neural Networks, Spatiotemporal Feature Extraction, Noise Independent Communication
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-10
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62938
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E-ISSN 2582-2160
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