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A new perspective of CALL software for English perceptual training in pronunciation instruction

Fei-Hsuan Liao
2010 The JALT CALL Journal  
Experimental results are discussed, and the influence of subjects' English-language learning experience is taken into account.  ...  Conclusions will be drawn in relation to the tutorial design of this software and the possibilities and perspectives explored by CALL software for integrating perceptual training in pronunciation instruction  ...  First, the importance of perceptual training of target languages for second/foreign language learning is highlighted.  ... 
doi:10.29140/jaltcall.v6n2.94 fatcat:lmqxiriltzamblso2yz6guotzm

EFL Pronunciation Training With Computer-Assisted Adaptive Peer Review

Hengbin Yan, Jiexuan Lin, Ying Liu
2018 English Language Teaching  
To investigate the viability of computer assisted peer assessment of EFL pronunciation, we present in this study a prototypical web-based/mobile platform for peer review of EFL pronunciation with adaptively  ...  applied to pronunciation learning/training tasks.  ...  Acknowledgement This study was supported by the Foundation for Distinguished Young Talents in Higher Education of Guangdong (grant number: 2015WQNCX030), Department of Education of Guangdong Province,  ... 
doi:10.5539/elt.v11n11p74 fatcat:rlyylxtylbbonndxqyqhbpv3hm

IEEE/ACM Transactions on Audio, Speech, and Language Processing Edics

2014 IEEE/ACM Transactions on Audio Speech and Language Processing  
for language learning; assessment of pronunciation and language Acoustic features specifically for robust ASR (noise, channel, etc.); fluency.  ...  and Written Language Perceptual measures of audio quality; objective and subjective Example/phrase/syntax/semantics-based machine translafion; quality assessment; network audio  ... 
doi:10.1109/taslp.2014.2311613 fatcat:gfa7t3kisnebta3um6cpzrd4ni

IEEE/ACM Transactions on Audio, Speech, and Language Processing - EDICS

2014 IEEE/ACM Transactions on Audio Speech and Language Processing  
Perceptual measures of audio quality Aids for the handicapped (cochlear implants, hearing aids) Binaural hearing AUD-SSEN Audio Source Separation and Enhancement Single-channel and multichannel source  ...  audio applications AUD-AUDI Auditory Modeling and Hearing Aids Human audition and psychoacoustics Computational auditory scene analysis Perceptual and psychophysical models of audio algorithms and systems  ...  Coding for Voice Over IP (VOIP) Quality assessment/evaluation metrics (e.g., PESQ) in coding New applications of VOIP SPE-ENHA Speech Enhancement Non-noisy speech Speech enhancement for humans with hearing  ... 
doi:10.1109/taslp.2014.2300358 fatcat:2dozzyib25cl5mihmkctbu3huq

IEEE Transactions on Audio, Speech, and Language Processing Edics

2013 IEEE Transactions on Audio, Speech, and Language Processing  
Perceptual measures of audio quality Aids for the handicapped (cochlear implants, hearing aids) Binaural hearing AUD-SSEN Audio Source Separation and Enhancement Single-channel and multichannel source  ...  audio applications AUD-AUDI Auditory Modeling and Hearing Aids Human audition and psychoacoustics Computational auditory scene analysis Perceptual and psychophysical models of audio algorithms and systems  ...  Coding for Voice Over IP (VOIP) Quality assessment/evaluation metrics (e.g., PESQ) in coding New applications of VOIP SPE-ENHA Speech Enhancement Non-noisy speech Speech enhancement for humans with hearing  ... 
doi:10.1109/tasl.2013.2264643 fatcat:vvv3o3ewhbcaxjojpt4xfuljde

IEEE/ACM Transactions on Audio, Speech, and Language Processing Edics

2018 IEEE/ACM Transactions on Audio Speech and Language Processing  
AUD-AMHA Auditory Modeling and Hearing Aids Human audition and psychoacoustics; computational auditory scene analysis; perceptual and psychophysical models of audio algorithms and systems; cochlear implants  ...  audio applications; adaptive techniques for feedforward control; feedback cancellation; feedback suppression.  ...  HLT-LACL Language Acquisition and Learning Language acquisition, development, and learning models; computer aids for language learning; assessment of pronunciation and language fl uency.  ... 
doi:10.1109/taslp.2018.2855927 fatcat:cz5n7joepreevfgyagk7n7h544

Advantages of Using Computer in Teaching English Pronunciation

Abbas Pourhosein Gilakjani, Narjes Banou Sabouri
2017 International Journal of Research in English Education  
Computer is being increasingly used in teaching English pronunciation to enhance its quality.  ...  Understanding the advantages of computer is an important step in the successful use of computer into English language teaching in general and pronunciation instruction in particular.  ...  Sadeghi (2013) performed a study towards using Computer Assisted Language Learning (CALL).  ... 
doi:10.18869/acadpub.ijree.2.3.78 fatcat:gzzujrvnzzcplcw3hu7yuetq6e

COMPUTER TECHNOLOGY IN TEACHING AND RESEARCHING PRONUNCIATION

John Levis
2007 Annual Review of Applied Linguistics  
Research into computer-assisted pronunciation teaching (CAPT) suggests that both researchers and pronunciation teachers increasingly make use of technology to answer key questions, to ensure that claims  ...  This article reviews three key areas where computer technology and pronunciation intersect: (1) appropriate pedagogical goals and the measurement of improvement; (2) the ability of CAPT to give useful,  ...  Detailed reviews of these can be regularly found in journals such as Calico Journal, Language Learning and Technology, and Computer Assisted Language Learning.  ... 
doi:10.1017/s0267190508070098 fatcat:lieixt47pzde7ndw7377qn5pji

IEEE/ACM Transactions on Audio, Speech, and Language Processing Edics

2017 IEEE/ACM Transactions on Audio Speech and Language Processing  
AUD-QIM Quality and Intelligibility Measures Perceptual measures of audio quality; objective and subjective quality assessment; network audio quality assessment; speech intelligibility measures.  ...  AUD-SARR Spatial Audio Recording and Reproduction Analysis and synthesis of sound Fields; wave-fi eld synthesis; loudspeaker array processing; ambisonics; panning; multipoint synthesis and binaural synthesis  ...  HLT-LACL Language Acquisition and Learning Language acquisition, development, and learning models; computer aids for language learning; assessment of pronunciation and language fl uency.  ... 
doi:10.1109/taslp.2017.2772589 fatcat:idirdv5etbh5djcync5obdmhsq

IEEE/ACM Transactions on Audio, Speech, and Language Processing Edics

2018 IEEE/ACM Transactions on Audio Speech and Language Processing  
AUD-QIM Quality and Intelligibility Measures Perceptual measures of audio quality; objective and subjective quality assessment; network audio quality assessment; speech intelligibility measures.  ...  AUD-SARR Spatial Audio Recording and Reproduction Analysis and synthesis of sound Fields; wave-fi eld synthesis; loudspeaker array processing; ambisonics; panning; multipoint synthesis and binaural synthesis  ...  HLT-LACL Language Acquisition and Learning Language acquisition, development, and learning models; computer aids for language learning; assessment of pronunciation and language fl uency.  ... 
doi:10.1109/taslp.2018.2830714 fatcat:mpfynd2q5vc3jocslih7eg4sae

Cross-Platform Mobile CALL Environment for Pronunciation Teaching and Learning

Andrei Kuznetsov, Anton Lamtev, Iurii Lezhenin, Artem Zhuikov, Mikhail Maltsev, Elena Boitsova, Natalia Bogach, Evgeny Pyshkin, D. Roy
2020 SHS Web of Conferences  
Computer-assisted prosody teaching (CAPT), a sub-domain of CALL, is a relatively new topic of interest for computer scientists and software developers.  ...  Mobile technologies promote computer-assisted language learning (CALL) while mobile applications, being learner-oriented by design, provide a powerful founding to build individual self-paced environments  ...  , [13] ) and does not mainly address prosody but other language aspects such as computer assisted learning of vocabulary or grammar.  ... 
doi:10.1051/shsconf/20207701005 fatcat:shkktks5dzf3lg4edgwmbrpwli

Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training [article]

Seung Hee Yang, Minhwa Chung
2019 arXiv   pre-print
Self-imitating feedback is an effective and learner-friendly method for non-native learners in Computer-Assisted Pronunciation Training.  ...  Perceptual test comparing the self-imitating and correcting abilities of our method with the baseline PSOLA method shows that the generative approach with cycle consistency loss is promising.  ...  Studies on computer assisted pronunciation training (CAPT) found that the better the match between the learners' and native speakers' voices, the more positive the impact on pronunciation training [2,  ... 
arXiv:1904.09407v1 fatcat:xkh4wjgszrd3dhfdbnact334nq

Automatic Accent Assessment Using Phonetic Mismatch and Human Perception

Freddy William, Abhijeet Sangwan, John H. L. Hansen
2013 IEEE Transactions on Audio, Speech, and Language Processing  
A listener evaluation of 50 Native American English (N-AE) was employed to assist in vali- dating the performance of the proposed accent assessment systems.  ...  In this study, a new algorithm for automatic accent evaluation of native and non-native speakers is presented. The proposed system consists of two main steps: alignment and scoring.  ...  In recent years, Computer Assisted Language Learning (CALL) and Computer Assisted Pronunciation Training (CAPT) applications which make use of Automatic Speech Recognition (ASR) have emerged as complementary  ... 
doi:10.1109/tasl.2013.2258011 fatcat:uit6e6zvcndntmvg5noiqqo4cy

Foreign accent conversion in computer assisted pronunciation training

Daniel Felps, Heather Bortfeld, Ricardo Gutierrez-Osuna
2009 Speech Communication  
Finally, we propose a pedagogical strategy for integrating accent conversion as a form of behavioral shaping in computer assisted pronunciation training.  ...  Our work extends previous research, which suggests that providing learners with prosodically corrected versions of their utterances can be a suitable form of feedback in computer assisted pronunciation  ...  Acknowledgements Hart Blanton is greatly acknowledged for his suggestions regarding the EGWA scale for the perceptual ratings.  ... 
doi:10.1016/j.specom.2008.11.004 pmid:21124807 pmcid:PMC2993100 fatcat:ox5cpmaog5asljclsyhv7z2foe

Directions for the future of technology in pronunciation research and teaching

Mary Grantham O'Brien, Tracey M. Derwing, Catia Cucchiarini, Debra M. Hardison, Hansjörg Mixdorff, Ron I. Thomson, Helmer Strik, John M. Levis, Murray J. Munro, Jennifer A. Foote, Greta Muller Levis
2018 Journal of Second Language Pronunciation  
Finally, we consider how these insights pave the way for researchers and developers working to create research-informed, computer-assisted pronunciation teaching resources.  ...  The point of departure for this contribution is that the goal of second language (L2) pronunciation research and teaching should be enhanced comprehensibility and intelligibility as opposed to native-likeness  ...  Acknowledgements The authors thank Scott Jarvis, Executive Director of Language Learning, and the sub-committee of the Language Learning Board of Directors, for funding the Roundtable event at PSLLT 2016  ... 
doi:10.1075/jslp.17001.obr fatcat:rdgxk3woxzhxxfgvcpbicjnyre
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