Phone-level pronunciation scoring and assessment for interactive language learning
Speech Communication
PLASER: pronunciation learning via automatic speech recognition
HLT-NAACL-EDUC '03 Proceedings of the HLT-NAACL 03 workshop on Building educational applications using natural language processing - Volume 2
Optimizing automatic speech recognition for low-proficient non-native speakers
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on atypical speech
Grammatical error simulation for computer-assisted language learning
Knowledge-Based Systems
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In this paper, we introduce a system for providing automatically generated corrective feedback on pronunciation errors in Dutch, Dutch-CAPT. We describe the architecture of the system paying particular attention to the rationale behind it, to the performance of the error detection algorithm and its relationship to the effectiveness of the corrective feedback provided. It appears that although the system does not achieve 100% accuracy in error detection, learners enjoy using it and the feedback provided is still effective in improving pronunciation errors after only a few hours of use over a period of one month. We discuss which factors may have led to these positive results and argue that it is worthwhile studying how ASR technology could be applied to the training of other speaking skills.