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Computer assisted language learning (CALL) and, more specifically, computer assisted pronunciation training (CAPT) have received considerable attention in recent years. CAPT allows continuous feedback to the learner without requiring the sole attention of the teacher; it facilitates self study and encourages interactive use of the language in preference to rote learning. One of the important processes...
Pronunciation measure computation is a vital part of Computer Assisted Pronunciation Training (CAPT) system. This paper conducts some research on pronunciation measures based on the two popular measures - Log posterior probability (LPP) and Goodness of Pronunciation (GOP). A modified GOP - AGOP is proposed which directly uses the segmentation information of forced alignment instead of free phone recognizer...
Goodness of pronunciation (GOP) is a confidence measure widely used in automatic pronunciation evaluation (APE) and it does not use the phone loop recognition lattice to calculate the confidence score. This paper presents a lattice-based GOP algorithm utilizing the information from the lattice, in order to obtain a more accurate confidence score. Experimental results reveal that the proposed LGOP...
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...
This paper describes an attempt to automate the large-scale assessment of oral language proficiency and listening comprehension for fairly advanced students of English as a second language. The automatic test is implemented as a spoken dialogue system and consists of a reading as well as a repeating task. Two experiments are described in which different rating criteria were used by human judges. In...
Automatic pronunciation evaluation (APE) can be implemented with a speech recognition model trained by standard, "golden" speakers. The pronunciation accuracy is then measured with the Goodness of Pronunciation (GOP) as reported in our earlier work [1]. In this paper, we investigate two main strategies for improving the evaluation: speaker adaptive training (SAT) for reducing the speaker-specific...
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