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An Effective CALL System for Strongly Accented Mandarin Speech
Jiang Tonghai; Tang Ming; Ge Fengpei; Liu Changliang; Dong Bin
2009
Conference NameInternational Conference on Research Challenges in Computer Science
Source PublicationICRCCS 2009 - 2009 International Conference on Research Challenges in Computer Science
Pages92-95
Conference DateDEC 28-29, 2009
Conference PlaceShanghai, PEOPLES R CHINA
Publication Place10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
Publisher2009 INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN COMPUTER SCIENCE, ICRCCS 2009
Abstract

In this paper, we investigate some specific acoustic problems of the computer assisted language learning (CALL) system by modifying the acoustic model and feature under the speech recognition framework. At first, in order to alleviate the distortion of channel and speaker, speaker-dependent Cepstrum Mean Normalization (Speaker CMN) is adopted, by which the average correlation coefficient (ACC) between human and machine scores is improved from 78.00% to 84.14%. Then, Heteroscedastic Linear Discriminate Analysis (HLDA) is applied to enhance the discrimination ability of acoustic model, which successfully increases ACC from 84.14% to 84.62%. Additionally, HLDA can lessen the great human-machine scoring difference of speeches that have very good or too bad quality, and so leads to an increase of the correctly-rank rate from 85.59% to 90.99%. Finally, we use the technology of Maximum a Posteriori (MAP) to tune the acoustic model to match the strongly accented testing speech. As the result, ACC is improved from 84.62% to 86.57%.

KeywordComputer Assisted Language Learning Pronunciation Quality Assessment Hlda Speaker Cmn Map
Funding OrganizationInt Comp Sci Soc, Intelligent Informat Technol Appl Res Assoc, Wuhan Univ Sci & Technol, S China Normal Univ
Document Type会议论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/2326
Collection多语种信息技术研究室
AffiliationChinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi, Peoples R China;Xinjiang Publ Secur Dept, Urumqi, Peoples R China;Chinese Acad Sci, Inst Acoust, ThinkIT Speech Lab, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Jiang Tonghai,Tang Ming,Ge Fengpei,et al. An Effective CALL System for Strongly Accented Mandarin Speech[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:2009 INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN COMPUTER SCIENCE, ICRCCS 2009,2009:92-95.
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