Lingo Test Confidence Booster with AI Helping Learners Improve Spoken English Through Real Time AI Feedback

Lingo Test Confidence Booster with AI Helping Learners Improve Spoken English Through Real Time AI Feedback | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Lingo Test Confidence Booster with AI Helping Learners Improve Spoken English Through Real Time AI Feedback Rabindra Kumar Mahato, Bikee Kumar Sah, Suraj Babu Patel, Rabindra Thapa, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7603046/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Public speaking is a vital skill for academic and professional success, yet numerous learners struggle with glossophobic bia, limited vocabulary, and weak delivery. Being training approaches, similar to practices or peer evaluation, give limited feedback and aren't scalable. This paper introduces \textit{Lingo-Test},an AI-powered platform designed to enhance spoken English through real-time, multimodal feedback. The system integrates Automatic Speech Recognition(ASR), Natural Language Processing(NLP), aspect discovery, and facial expression analysis to estimate both verbal and non-verbal performance. Unlike conventional tools that concentrate only on pronunciation or alphabet, \textit{Lingo-Test} generates a compound confidence score and individualized recommendations covering ignorance, tone variation, vocabulary precarious, and eye contact. The architecture includes modular factors for speech processing, sentiment analysis, and feedback visualization, making it scalable for academic and professional operations. An pilot study with learners indicated measurable advancements in ignorance, confidence, and non-verbal delivery. These results punctuate the eventuality of AI- driven multimodal feedback systems to reduce anxiety, strengthen tone mindfulness, and ameliorate communication chops, situating\textit{Lingo-Test} as a practical result for education and training AI in Education Speech Recognition Natural Language Processing(NLP) Computer Vision Public Speaking Confidence Scoring Language Learning Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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