منابع مشابه
Automated Pronunciation Scoring for L2 English Learners
1. Introduction This study aims at developing an automated pronunciation scoring method for second language learners of English (Hereafter, L2 learners) using both confidence scoring and classifiers. The pronunciation errors have been detected using the confidence measure from speech recognition [Franco et al. However, the accuracy of the assessment based on the confidence scores is not always ...
متن کاملL2 pronunciation quality in read and spontaneous speech
This paper describes two experiments aimed at exploring the relationship between objective properties of speech and perceived pronunciation quality in read and spontaneous speech, with a view to determining whether such quantitative measures can be used to develop objective pronunciation tests. Read and spontaneous speech of two groups of 60 learners of Dutch as a second language was scored for...
متن کاملAn audiovisual feedback system for acquiring L2 pronunciation and L2 prosody
In recent years the application of computer software to the learning process has been acknowledged an indisputably effective tool supporting traditional teaching methods. A particular focus has been put on the application of computational techniques based on speech and language processing to second language learning. At present, a number of commercial self-study programs using speech synthesis ...
متن کاملOn the effects of L2 perception and of individual differences in L1 production on L2 pronunciation
The speech of late second language (L2) learners is generally marked by an accent. The dominant theoretical perspective attributes accents to deficient L2 perception arising from a transfer of L1 phonology, which is thought to influence L2 perception and production. In this study we evaluate the explanatory role of L2 perception in L2 production and explore alternative explanations arising from...
متن کاملMAT: a tool for L2 pronunciation errors annotation
In the area of Computer Assisted Language Learning(CALL), second language (L2) learners’ spoken data is an important resource for analysing and annotating typical L2 pronunciation errors. The annotation of L2 pronunciation errors in spoken data is not an easy task though, normally it requires manual annotation from trained linguists or phoneticians. In order to facilitate this task, in this pap...
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ژورنال
عنوان ژورنال: Studies in Second Language Acquisition
سال: 2017
ISSN: 0272-2631,1470-1545
DOI: 10.1017/s0272263117000080