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Pronunciation Error Detection and Correction

International Journal of Computer Science and Engineering
© 2023 by SSRG - IJCSE Journal
Volume 10 Issue 12
Year of Publication : 2023
Authors : Vadlamudi Hari Priya, Yenuganti Rama, Purimetla Srimati, Shaik Shahanaz
10.14445/23488387/IJCSE-V10I12P101

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How to Cite?

Vadlamudi Hari Priya, Yenuganti Rama, Purimetla Srimati, Shaik Shahanaz, "Pronunciation Error Detection and Correction," SSRG International Journal of Computer Science and Engineering , vol. 10,  no. 12, pp. 1-4, 2023. Crossref, https://doi.org/10.14445/23488387/IJCSE-V10I12P101

Abstract:

Accurate pronunciation plays a pivotal role in language learning and communication. This paper presents a comprehensive overview of the field of pronunciation error detection and correction. It explores various techniques, including Automatic Speech Recognition (ASR) and Natural Language Processing (NLP), to identify and correct pronunciation errors. The paper delves into the challenges associated with this task, such as accent diversity, non-native speakers, and contextual variations. Additionally, it discusses the potential applications in language education, speech therapy, and language assessment. This paper aims to contribute to developing more effective tools and systems for improving pronunciation and language proficiency.

Keywords:

Speech recognition, Accent diversity, Speech therapy, Language assessment.

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