MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641108090 A) filed by Dr. M. Ravichand; Mr. Salinder Ranga; Dr. Neelam Kumari; Dr. Harendra Singh; Dr. Santosh Kumar Nayak; Mr. P. Nirmal; Md Keramot Hossain Mondal; Dr. Saraswathy S; Mr. Kumaravel K; Jobin Jose; Dr. Khan Zeenat Muzaffar; and Prof. Dr. Harikumar Pallathadka on September 08, 2026, for Machine Learning Platform For English Language Learning And Pronunciation Assessment.
Inventors include Dr. M. Ravichand; Mr. Salinder Ranga; Dr. Neelam Kumari; Dr. Harendra Singh; Dr. Santosh Kumar Nayak; Mr. P. Nirmal; Md Keramot Hossain Mondal; Dr. Saraswathy S; Mr. Kumaravel K; Jobin Jose; Dr. Khan Zeenat Muzaffar; and Prof. Dr. Harikumar Pallathadka.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The present invention provides a machine learning platform for English language learning and pronunciation assessment. The platform receives English learning activities and spoken learner responses through a learner interface and processes the responses using speech acquisition, preprocessing, and feature extraction modules. Linguistic and acoustic characteristics including phonetic, spectral, temporal, prosodic, stress, intonation, and fluency characteristics are analyzed against target speech characteristics to determine pronunciation assessment parameters. A machine learning analysis engine identifies learner-specific pronunciation patterns and language- learning deficiencies using current and historical performance information. A feedback generation module provides individualized corrective feedback, while an adaptive learning module selects or modifies subsequent learning activities according to the learner profile and assessment results. The platform thereby establishes a continuous cycle of speech-based assessment, personalized feedback, adaptive learning, and performance monitoring.
Disclaimer: Curated by HT Syndication.
