Intellectual Property India Publishes Patent Application for 'Machine Learning-Enabled English Listening Skill Enhancement Platform' Filed by Dr. Laxmikant Kulkarni; Dr. Kavita Harihar; K M Arunkumar; Mallikarjunam; Dr. Priya R Kulkarni; and Shireen Taj

MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008351 A) filed by Dr. Laxmikant Kulkarni; Dr. Kavita Harihar; K M Arunkumar; Mallikarjunam; Dr. Priya R Kulkarni; and Shireen Taj, Ballari, Karnataka, on Jan. 28, for 'machine learning-enabled english listening skill enhancement platform.'

Inventor(s) include Dr. Laxmikant Kulkarni; Dr. Kavita Harihar; K M Arunkumar; Mallikarjunam; Dr. Priya R Kulkarni; and Shireen Taj.

The application for the patent was published on Feb. 13, under issue no. 07/2026.

According to the abstract released by the Intellectual Property India: "The invention relates to a machine learning-enabled platform for enhancing English listening comprehension skills through acoustic signal processing, natural language understanding, and adaptive learning algorithms. The system addresses limitations of existing approaches by processing raw audio signals directly through transformer-based architectures and implementing multi-dimensional comprehension assessment with personalized feedback generation. The system comprises an Audio Input Module (101), Speech Recognition Engine (102), Audio Content Repository (103), User Profile Database (104), Machine Learning Listening Engine (200), Natural Language Understanding Unit (201), Difficulty Adaptation Controller (202), Acoustic Feature Extractor (301), Phoneme Recognition Module (302), Prosody Analysis Engine (303), Comprehension Assessment Unit (304), Feedback Generation Module (400), Progress Tracking Dashboard (401), and Adaptive Content Recommender (402). The Machine Learning Listening Engine employs a Wav2Vec 2.0-based architecture for end-to-end audio processing, while the Difficulty Adaptation Controller implements Thompson sampling for optimal content selection. The present invention ensures effective listening skill enhancement through adaptive difficulty adjustment that maintains content at the optimal challenge level for each learner, multi-format comprehension assessment that evaluates understanding across factual recall, inference, and summarization dimensions, and personalized feedback that identifies specific weaknesses and recommends targeted practice activities for continuous improvement."

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