7,279 research outputs found
The Effect of Using Authentic Videos on English Major Students' Prosodic Competence
This study aims to investigate the effect of using authentic videos on the prosodic competence of foreign language learners. It is hypothesized worldwide that authentic videos have a positive effect on the EFL learners' supra segmental competence. The population of the study included 32 students majoring in English Language at Taibah University in KSA during the academic year 2011/2012. The sample consisted of two sections, a control group and an experimental one. A pretest was administered to both groups to ensure that they were homogeneous. The control group was taught supra segmental aspects of language using a traditional approach while the experimental group was taught authentic videos. About four months later, a posttest was administered. The results of the study showed that there was much progress in the experimental group which significantly outperformed the control group in the different aspects of prosody. These findings confirm the hypothesis which read videos can have a positive effect on the EFL learners' supra segmental competence. Keywords :Supra segmental competence, authentic videos ,Saudi English major students as EFL learners, Intonation, Pronunciation, Stress, Pause , Juncture , Rhyme , and Prosodic aspects of language
Automatic prosodic analysis for computer aided pronunciation teaching
Correct pronunciation of spoken language requires the appropriate modulation of acoustic characteristics of speech to convey linguistic information at a suprasegmental level. Such prosodic modulation is a key aspect of spoken language and is an important component of foreign language learning, for purposes of both comprehension and intelligibility. Computer aided pronunciation teaching involves automatic analysis of the speech of a non-native talker in order to provide a diagnosis of the learner's performance in comparison with the speech of a native talker. This thesis describes research undertaken to automatically analyse the prosodic aspects of speech for computer aided pronunciation teaching. It is necessary to describe the suprasegmental composition of a learner's speech in order to characterise significant deviations from a native-like prosody, and to offer some kind of corrective diagnosis. Phonological theories of prosody aim to describe the suprasegmental composition of speech..
Comprehensibility and Prosody Ratings for Pronunciation Software Development
In the context of a project developing software for pronunciation practice and feedback for Mandarin-speaking learners of English, a key issue is how to decide which features of pronunciation to focus on in giving feedback. We used naïve and experienced native speaker ratings of comprehensibility and nativeness to establish the key features affecting comprehensibility of the utterances of a group of Chinese learners of English. Native speaker raters assessed the comprehensibility of recorded utterances, pinpointed areas of difficulty and then rated for nativeness the same utterances, but after segmental information had been filtered out. The results show that prosodic information is important for comprehensibility, and that there are no significant differences between naïve and experienced raters on either comprehensibility or nativeness judgements. This suggests that naïve judgements are a useful and accessible source of data for identifying the parameters to be used in setting up automated feedback
Multimedia information technology and the annotation of video
The state of the art in multimedia information technology has not progressed to the point where a single solution is available to meet all reasonable needs of documentalists and users of video archives. In general, we do not have an optimistic view of the usability of new technology in this domain, but digitization and digital power can be expected to cause a small revolution in the area of video archiving. The volume of data leads to two views of the future: on the pessimistic side, overload of data will cause lack of annotation capacity, and on the optimistic side, there will be enough data from which to learn selected concepts that can be deployed to support automatic annotation. At the threshold of this interesting era, we make an attempt to describe the state of the art in technology. We sample the progress in text, sound, and image processing, as well as in machine learning
DDSupport: Language Learning Support System that Displays Differences and Distances from Model Speech
When beginners learn to speak a non-native language, it is difficult for them
to judge for themselves whether they are speaking well. Therefore,
computer-assisted pronunciation training systems are used to detect learner
mispronunciations. These systems typically compare the user's speech with that
of a specific native speaker as a model in units of rhythm, phonemes, or words
and calculate the differences. However, they require extensive speech data with
detailed annotations or can only compare with one specific native speaker. To
overcome these problems, we propose a new language learning support system that
calculates speech scores and detects mispronunciations by beginners based on a
small amount of unannotated speech data without comparison to a specific
person. The proposed system uses deep learning--based speech processing to
display the pronunciation score of the learner's speech and the
difference/distance between the learner's and a group of models' pronunciation
in an intuitively visual manner. Learners can gradually improve their
pronunciation by eliminating differences and shortening the distance from the
model until they become sufficiently proficient. Furthermore, since the
pronunciation score and difference/distance are not calculated compared to
specific sentences of a particular model, users are free to study the sentences
they wish to study. We also built an application to help non-native speakers
learn English and confirmed that it can improve users' speech intelligibility
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Promoting oral fluency for English learners using differentiated corrective feedback
The purpose of this project is to address the need from helping English learners to improve their oral expression. The research mainly focuses on oral expression stategies with which students can overcome their fear of speaking in public and be better understood in society. Sample curriculum/lesson plans included
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