MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048427 A) filed by Dr. M. Malini; Dr. F. Vincent Rajasekar; Dr S R Sundaravalli; Dr Jobi Babu; and Kochumol Abraham, Dindigul, Tamil Nadu, on April 16, for 'artificial intelligence-enabled multimedia pronunciation learning system for personalized speech improvement.'
Inventor(s) include Dr. M. Malini; Dr. F. Vincent Rajasekar; Dr S R Sundaravalli; Dr Jobi Babu; and Kochumol Abraham.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This invention describes an artificial intelligence-enabled multimedia pronunciation system for personalized language learning. The system is configured to capture learner speech, analyze pronunciation characteristics, and deliver individualized corrective instruction through multimedia outputs. The system evaluates phoneme production, articulation, intonation, rhythm, stress placement, and fluency using artificial intelligence-based speech processing techniques. Based on detected pronunciation deficiencies, native-language interference patterns, and historical performance data, the system generates personalized training paths and adaptive repetition tasks. The system further provides synchronized audio-visual cues, phonetic annotations, articulatory guidance, and comparative speech feedback to improve learner pronunciation accuracy and phonetic comprehension. A performance monitoring function continuously updates learner-specific models and adapts instructional content according to session outcomes. The disclosed system enables context-sensitive, scalable, and measurable pronunciation training through closed-loop analysis, multimedia correction delivery, and individualized language learning support."
Disclaimer: Curated by HT Syndication.
