Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM58053
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Communication is one of the basic needs for every human being. However, for those suffering from muteness, communicating in their daily lives is a significant challenge. For those who are not aware of existing solutions like sign language or communication through typing, this paper proposes a Real Time Lip Reading to Speech Android Application that uses Artificial Intelligence for converting lip movement into speech. The proposed application uses Android’s CameraX for video recording, MediaPipe for lip region detection, and TensorFlow Lite for offline deep learning model prediction. The predicted words are then converted into speech using Android’s Text-toSpeech (TTS). The proposed application is designed for offline video upload processing without requiring internet connectivity. The proposed system’s effectiveness in assisting communication for those suffering from muteness has been tested in experiments.
KEYWORDS
Publication Date
3/22/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...