Paper Title

AUTOMATIC PRONUNCIATION ANALYSIS USING ARTIFICIAL INTELLIGENCE TECHNOLOGY

Article Identifiers

Registration ID: IJNRD_220469

Published ID: IJNRD2405038

DOI: Click Here to Get

Authors

MANOJ PRABHAKAR P , Dr P THIYAGARAJAN , KAVIN KUMAR S , KAVINRAJA S

Keywords

CNN,NLP,UML,DNN,RNN,SSD Algorithm

Abstract

The Automatic Pronunciation analysis (APA) is an innovative language learning tool designed to revolutionize the way individuals acquire and perfect their pronunciation skills. Built upon advanced speech recognition and machine learning technologies, offers a real-time, personalized, and effective solution for learners of all levels. This groundbreaking system operates by capturing the user's spoken language input and meticulously analysing it in comparison to the desired target pronunciation. Leveraging deep neural networks, acoustic modelling, and phonetic analysis, then can swiftly identify and assess pronunciation errors, enabling users to pinpoint areas of improvement. The APA provides immediate, constructive feedback, highlighting specific mispronunciations and offering visual representations for enhanced learning. Key features of the APA include its adaptability to a wide range of languages and dialects, making it a versatile tool for learners from diverse linguistic backgrounds. It can be integrated seamlessly into language learning applications, e-learning platforms, or used as a standalone tool for self-improvement or by educators and speech therapists. In this project, explore the APA's architecture, capabilities, and its transformative potential in the realm of language learning and education

How To Cite (APA)

MANOJ PRABHAKAR P, Dr P THIYAGARAJAN , KAVIN KUMAR S, & KAVINRAJA S (May-2024). AUTOMATIC PRONUNCIATION ANALYSIS USING ARTIFICIAL INTELLIGENCE TECHNOLOGY. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), a360-a366. https://ijnrd.org/papers/IJNRD2405038.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : a360-a366

Other Publication Details

Paper Reg. ID: IJNRD_220469

Published Paper Id: IJNRD2405038

Downloads: 000122002

Research Area: Engineering

Country: SALEM, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405038.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405038

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

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