An Interactive Machine Learning Approach for Improving Babble English Pronunciation

Authors: Ansari Almas Mubeen, Kalekar Sudarshan Ajinath, Kapse Om Nilesh, Tajane Harshad Kailas, Dr. Rokade Prakash Pandharinath5

Country: India

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Abstract: This paper introduces a Pronunciation Checker, which uses deep learning techniques to improve users' speaking skills.The Babble English project focuses on advancing English proficiency among non-native speakers by enhancing pronunciation, fluency, and natural language use. Through an interactive platform, Babble English provides a structured environment for learners to practice spoken English in real-time, utilizing AI-driven pronunciation feedback and personalized learning paths. This project emphasizes the improvement of articulation, intonation, and phonetic accuracy, crucial for clear communication. Designed for beginner to intermediate learners, Babble English leverages adaptive learning technologies to analyze speaking patterns and offer targeted exercises, helping users develop confidence and natural fluency in English conversations. The system requires users to register and log in to access a selection of randomly generated paragraphs. Upon reading the paragraphs aloud, the system employs advanced speech recognition algorithms to analyze the user's pronunciation, identifying any mispronounced words. A detailed report is generated, highlighting specific words that were pronounced incorrectly and providing their meanings along with phonetic pronunciations for correction. Additionally, the system tracks the user's progress, presenting a percentage score reflecting their pronunciation accuracy for each paragraph. Users also have the option to directly record sentences, which the system evaluates for correctness. This interactive tool aims to support language learners by providing immediate feedback and fostering continuous improvement in their pronunciation.

Keywords: Pronunciation Checker, Deep Learning, Speech Recognition, Mispronounced Words, Phonetic Pronunciation, Pronunciation Accuracy, Language Learning, Continuous Improvement, User Progress Tracking, Interactive Tool

Paper Id: 231585

Published On: 2024-11-12

Published In: Volume 12, Issue 6, November-December 2024

Cite This: An Interactive Machine Learning Approach for Improving Babble English Pronunciation - Ansari Almas Mubeen, Kalekar Sudarshan Ajinath, Kapse Om Nilesh, Tajane Harshad Kailas, Dr. Rokade Prakash Pandharinath5 - IJIRMPS Volume 12, Issue 6, November-December 2024.

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