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Title:
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A MOBILE CLOUD COMPUTING BASED INDEPENDENT LANGUAGE LEARNING SYSTEM WITH AUTOMATIC INTELLIGIBILITY ASSESSMENT AND INSTANT FEEDBACK |
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Author(s):
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Imen M. Kasrani, Miteshkumar M. Vasoya, Ashutosh Shivakumar and Yong Pei |
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ISBN:
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978-989-8533-76-0 |
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Editors:
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Inmaculada Arnedillo Sánchez and Pedro Isaías |
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Year:
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2018 |
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Edition:
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Single |
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Keywords:
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Mobile Learning, Language Learning, Speech Recognition, Language Intelligibility Assessment, Instant Feedback, Mobile Cloud Computing |
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Type:
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Full Paper |
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First Page:
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15 |
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Last Page:
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22 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this research paper, we present a novel language learning/training and assessment system that helps people to learn and practice a new language independently at low cost. To achieve an independent-learning workflow, we explore the use of real-time speech recognition, language translation, speech synthesis, and language intelligibility assessment technologies to provide automatic assessment and instant feedback of language-speaking performance. We also propose and adopt an objective assessment methodology that determines the intelligibility based on outcome of speech recognition. Our experimental results demonstrate that the proposed system can sufficiently analyze the intelligibility of ones speaking, accurately identify mispronounced words, and define a feedback that localizes and highlights errors for helping continuous practice toward perfection. |
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