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Annual International Conference on System Science and Engineering (ICSSE)

作者： Thanh-Dung Dang Kim-Giao Dang Thi HCMC Univ Technol & Educ Ho Chi Minh City Vietnam Posts & Telecommun Inst Technol Ho Chi Minh City Vietnam

ISBN: (纸本)9781538634226

Pronunciation errors are often made by language learners. Especially, systematic mispronunciations, consisting of substitutions of native sounds for sounds of the target language that do not exist in the native language, are considered a big problem for language leaners. Therefore, automatic detection of this kind of errors is essential to building a computer-assisted language learning (CALL) system supporting language learners to improve their pronunciation. In this research, we focused on detecting systematic pronunciation errors made by Vietnamese learners of English. To this end, we used SVM classifiers, which are trained by a native corpuses (TIMIT) and a non-native corpus (V.E Corpus). The non-native corpus, constructed by the researchers and annotated by two Vietnamese trained professionals, includes 1550 utterances from 31 Vietnamese students. Each of the students was asked to read 50 English sentences designed to contain English phonemes frequently mispronounced by Vietnamese speakers. The experimental results showed that the detectors can achieve at least 79% SAR and 10% FAR.

关键词： Pronunciation error detection Acoustic-phonetic classification computer assisted pronunciation training computer assisted language learning

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Visualization for Improving Foreign language Pronunciation 25

Visualization for Improving Foreign Language Pronunciation

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25th Interspeech Conference

作者： Yoder, Charlotte Karahalios, Karrie Hasegawa-Johnson, Mark Agrawal, Shreyansh Univ Illinois Champaign IL 61820 USA

Speaking coherently in a second language requires knowledge and execution of pronunciation. Often, pronunciation training is seldom emphasized in language learning. However, explicitly teaching pronunciation can increase confidence and attitudes towards pronunciation in learners. We present a visual feedback system for vowels using a speaker calibrated vowel chart. The demo includes vowel chart calibration, an interactive tutorial for learning how to read a vowel chart, and a practice page for three vowel minimal pairs.

关键词： computer assisted language learning pronunciation training second language acquisition

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An Automatic Classification of Intonation Using Temporal Structure in Utterance-level Pitch Patterns for British English Speech 15

An Automatic Classification of Intonation Using Temporal Str...

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15th IEEE-India-Council International Conference (IEEE INDICON)

作者： Yarra, Chiranjeevi Ghosh, Prasanta Kumar Indian Inst Sci Elect Engn Bangalore 560012 Karnataka India

ISBN: (纸本)9781538682357

In spoken communication, intonation often conveys meaning of an utterance. Thus, incorrect intonation, typically made by second language (L2) learners, could result in miscommunication. We, in this work, consider the problem of automatically detecting the intonation of British English (BE) utterances which could be useful for providing feedback to the L2 learners. Typically, in BE, the meaning is conveyed through four intonation classes Glide-up, Glide-down, Dive and Takeoff. We hypothesize that these classes could be discriminated using temporal structure in utterance-level pitch patterns. These patterns could be represented by either stylized pitch or tones from automatic tone and break indices (AuToBI) tool. We model these temporal structures for the intonation classification using three techniques, namely, n-gram, deep neural network and long short term memory recurrent networks. Experiments are conducted on the speech data collected from a spoken English training material for teaching intonation of BE. We obtain better unweighted average recall (UAR) with the proposed schemes compared to the baseline scheme, that does not exploit temporal structure in the utterance-level pitch patterns. Among different proposed schemes, the highest absolute improvement in the UAR is found to be 933% over the baseline scheme.

关键词： intonation classification pitch stylization tones computer assisted language learning

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Unsupervised Feature Adaptation using Adversarial Multi-Task Training for Automatic Evaluation of Children's Speech 21

Unsupervised Feature Adaptation using Adversarial Multi-Task...

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Interspeech Conference

作者： Duan, Richeng Chen, Nancy F. ASTAR Inst Infocomm Res Singapore Singapore

ISBN: (纸本)9781713820697

Processing children's speech is challenging due to high speaker variability arising from vocal tract size and scarce amounts of publicly available linguistic resources. In this work, we tackle such challenges by proposing an unsupervised feature adaptation approach based on adversarial multi-task training in a neural framework. A front-end feature transformation module is positioned prior to an acoustic model trained on adult speech (1) to leverage on the readily available linguistic resources on adult speech or existing models, and (2) to reduce the acoustic mismatch between child and adult speech. Experimental results demonstrate that our proposed approach consistently outperforms established baselines trained on adult speech across a variety of tasks ranging from speech recognition to pronunciation assessment and fluency score prediction.

关键词： computer assisted language learning computer assisted pronunciation training

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An E-learning System for Japanese Onomatopoeic Expressions

An E-Learning System for Japanese Onomatopoeic Expressions

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6th International Conference on Soft Computing and Intelligent Systems (SCIS) / 13th International Symposium on Advanced Intelligence Systems (ISIS)

作者： Hashimoto, Kiyota Takeuchi, Kazuhiro Osaka Prefecture Univ Sch Knowledge & Informat Syst Sakai Osaka Japan Osaka Electrocommun Univ Fac Informat & Commun Engn Neyagawa Osaka Japan

ISBN: (纸本)9781467327435;9781467327428

The Japanese language have a great number of onomatopoeic expressions, which is one of the key characteristics of this language as well as other East-Asian languages like Korean and Indonesian. When a foreigner learns Japanese, thus, it is important to master them, but, due to its quite subjective nature, many feel great difficulty, and it is indeed the case with foreigners who wants to work in Japan. However they are often neglected in rapid Japanese teaching, and a supportive e-learning system for mastering Japanese onomatopoeic expressions is desirable. Based on linguistic reconsideration on Japanese onomatopoeic expressions, we are developing an online e-learning system of Japanese onomatopoeic expressions for foreign workers. Our system aims to present not only explanation of individual onomatopoeic expressions but various contextual information, and to offer a question-answer communication device that enables learners to have a quick, probable answer with relevant examples found in online data and instructors to explain the expression afterwards. Evaluation of our prototype system by foreign Japanese learners indicates that using this kind of e-learning system is suitable for complementing Japanese learning at school.

关键词： e-learning for workers computer assisted language learning Japanese onomatopoeic expressions

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computerS AND language-learning - MISGUIDED ASSUMPTIONS

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BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY 1989年第1期20卷 41-46页

作者： DUDLEYMARLING, C SEARLE, D YORK UNIV FAC EDUC N YORK M3J 1P3 ONTARIO CANADA

There has been a rapid increase in the availability of computer assisted instruction (CAI) software for teaching oral language skills. Despite the growing popularity of CAI in education, such an approach to language teaching fragments and isolates language learning from the context of its use and conflicts with current theory and research in language development and learning. The greatest potential for microcomputers in language learning may be as a medium for increasing student opportunities for using language by bringing students and teachers together around a shared activity. .overlined { text-decoration: overline; } .struck { text-decoration:line-through; } .underlined { text-decoration:underline; } .doubleUnderlined { text-decoration:underline;border-bottom:1px solid #000; } Enhanced Article (HTML) Get PDF (406K)Get PDF (406K) More content like thisFind more content: like this articleFind more content written by: Curt Dudley-Marling Dennis Searle All Authors

关键词： computer assisted Instruction Courseware Educational Environment Educational Theories Elementary Education Interaction language Acquisition language Research Man Machine Systems Microcomputers Oral languagecomputer assisted language Instruction computer assisted language learning

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Phone-dependent Transformation of Posterior Probability Measure for Automatic Pronunciation Quality Evaluation

Phone-dependent Transformation of Posterior Probability Meas...

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IEEE Workshop on Electronics, computer and Applications (IWECA)

作者： Yan, Ke China Acad Engn Phys New Generat Informat Technol Ctr Inst Comp Applicat Mianyang Peoples R China

ISBN: (纸本)9781479945658

Posterior probability measure is widely accepted as the most promising feature for automatic pronunciation quality evaluation. However, this measure is not phonetically consistent. This work presents a novel trainable phone-dependent transformation of posterior probability to deal with the problem. Both linear and non-linear transforms are investigated. Close form solution is found for linear transformation and gradient-based method is derived for nonlinear transformation. Experimental results on the database of 3685 people showed significant improvement. The cross-correlation between human and machine scores increases from 0.582 to 0.760.

关键词： component computer assisted language learning automatic pronunciation quality evaluation posterior probability

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computer-based training for learning English vowel contrasts

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System 2004年第4 SPEC.ISS.期32卷 539-552页

作者： Wang, Xinchun Munro, Murray J. Department of Linguistics California State University Fresno CA 93740 5245 North Backer Avenue United States Department of Linguistics Simon Fraser University Burnaby BC V5A 1S6 8888 University Drive Canada

computer-based training can be effective in improving second language learners' perceptions and productions of segmental speech contrasts. However, because most previous studies have addressed specific theoretical problems in speech learning, an impact on pedagogy has hardly been felt. Research participants are commonly subjected to rigid research paradigms with strict schedules, so that it is unclear whether research results can be applied in pedagogical contexts. Moreover, a limited range of speech sounds have been examined, with a disproportionate number of studies considering only consonants. In this investigation, we applied training techniques from previous work in a pedagogically oriented approach in which participants had some control over lesson content and worked at a self-determined pace. Sixteen native Mandarin and Cantonese speakers received training on three English vowel contrasts over two months. The training stimuli consisted of synthetic and natural utterances, presented in a graded fashion. In comparison with an untrained control group, trainees showed improved perceptual performance, transferred their knowledge to new contexts, and maintained their improvement three months after training. These findings support the feasibility of computer-based, learner-centered programs for second language pronunciation instruction. © 2004 Elsevier Ltd. All rights reserved.

关键词： computer assisted language learning Pronunciation Speech perception

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THE USE OF PRETEST AND POSTTEST IN CALL - A CASE-STUDY

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computerS & EDUCATION 1994年第1-2期23卷 143-150页

作者： BLIN, F WILSON, D DUBLIN CITY UNIV CTR NEW TECHNOL EDUCSCH APPL LANGUAGESDUBLIN 9IRELAND

This paper considers the use of pre- and post-test results as formative evaluation tools and describes a small group evaluation of courseware dealing with French for banking. The results highlight the problems that oc... 详细信息

关键词： Business Administration Education Business Communication Case Studies computer assisted Instruction computer Software Evaluation Courseware Evaluation Methods Foreign Countries Formative Evaluation Group Activities Higher Education Pretests Posttests Questionnaires Second language learning Standards Tables (Data) Test ConstructionIrelandcomputer Users Ireland computer assisted language learning

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Can learners use concordance feedback for writing errors?

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System 2004年第3期32卷 301-319页

作者： Gaskell, Delian Cobb, Thomas Dept. de Ling./de Didac. des Langues Universite du Quebec a Montreal Montréal Que. Canada

Sentence-level writing errors seem immune to many of the feedback forms devised over the years, apart from the slow accumulation of examples from the environment itself, which second language (L2) learners gradually notice and use to varying degrees. A computer corpus and concordance could provide these examples in less time and more noticeable form, but until now the use of this technology has assumed roughly the degree of language awareness most learners are aiming at. We report on attempts to make concordance information accessible to lower-intermediate L2 writers. These attempts capitalize on some newly available opportunities as concordancing goes online. Our report: (1) makes a case in principle for concordance information as feedback to sentence-level written errors, (2) describes a URL-link technology that allows teachers to create and embed concordances in learners' texts, (3) describes a trial of this approach with intermediate academic learners, and (4) presents preliminary results. © 2004 Elsevier Ltd. All rights reserved.

关键词： CALL computer assisted language learning Error feedback Error treatment Focus on forms Form focus Grammatical awareness Hands-on concordancing language awareness Learner concordancing Structured input

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