MUMBAI, India, Jan. 7 -- Intellectual Property India has published a patent application (202511103998 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Oct. 29, 2025, for 'speech recognition-based system for teaching spoken english proficiency.'
Inventor(s) include Dr. Karuna; and Avi Mittal.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "A speech recognition-based system for teaching spoken English proficiency is disclosed. The system comprises a user interface configured to receive spoken input; a speech recognition engine adapted to transcribe input into text; a phonetic analysis module configured to evaluate pronunciation, stress, intonation, and rhythm; a contextual reference database storing authentic recordings categorized by phonetic unit and communicative context; a feedback module configured to generate corrective guidance including comparative playback and explanatory notes; a recommendation engine adapted to provide targeted practice tasks aligned with learner weaknesses; and a performance tracker configured to compile longitudinal metrics of proficiency improvement. The system operates over cloud infrastructure enabling scalability, cross-platform access, and integration with institutional learning management systems. A personalization module aligns corrective interventions with learner objectives, thereby improving spoken English proficiency through adaptive, contextual, and feedback-driven learning."
Disclaimer: Curated by HT Syndication.
