Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models

Automated speech therapy through personalized pronunciation correction using reinforcement learning and large language models

Traditional approaches to pronunciation correction often face challenges in personalization, adaptability, and consistent feedback. This study introduces a novel AI-powered system that integrates Reinforcement Learning (RL) and Large Language Models (LLMs) to address these limitations. The system em...

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Bibliographic Details
Main Authors: Ritika Lakshminarayanan, Ayesha Shaik, Ananthakrishnan Balasundaram
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Automatic speech recognition
Reinforcement learning
Proximal policy optimization
Large language model
Phonetic transcription
Speech synthesis markup language
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025000313
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