AI-based language tutoring systems with end-to-end automatic speech recognition and proficiency evaluation

This paper presents the development of language tutoring systems for nonnative speakers by leveraging advanced end-to-end automatic speech recognition (ASR) and proficiency evaluation. Given the frequent errors in non-native speech, high-performance spontaneous speech recognition must be applied. Ou...

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Bibliografische Detailangaben

Hauptverfasser:	Byung Ok Kang, Hyung-Bae Jeon, Yun Kyung Lee
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Electronics and Telecommunications Research Institute (ETRI) 2024-02-01
Schriftenreihe:	ETRI Journal
Schlagworte:	automatic speech recognition computer-assisted language learning end-to-end recognition language tutoring spoken proficiency evaluation
Online-Zugang:	https://doi.org/10.4218/etrij.2023-0322
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