DocumentCode
499108
Title
Study and implementation of intelligent e-Learning system for modern spoken chinese
Author
Feng-Long Huang ; Jun-Yi Wu
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. United Univ., Miaoli, Taiwan
Volume
5
fYear
2009
fDate
12-15 July 2009
Firstpage
2968
Lastpage
2974
Abstract
This paper aims at the implementation of online e-learning system for spoken Chinese based on the approach of natural language processing. The system is composed of four components: text analysis, prosody estimation, selection of synthesis units, speech generation module. The corpora, dictionary and speech database are generated. More than 4000 monosyllabic speech units of Chinese and several silences with various durations have been recorded as basic synthesis units. Twelve college students with frequent speaking ability evaluated the synthesized speech for the quality of energy and speech intelligibility. The satisfaction results for the testing achieve 8.09 and 7.63, respectively. Based on the comprehensive evaluation, it is obvious that our intelligent system can provide real speech with natural quality and helpful lexical information on Internet.
Keywords
Internet; intelligent tutoring systems; linguistics; natural language processing; speech intelligibility; speech synthesis; text analysis; Internet; dictionary; intelligent online e-learning system; lexical information; modern spoken Chinese; monosyllabic speech unit; natural language processing; prosody estimation; speech database; speech generation module; speech intelligibility; speech quality; speech synthesis unit selection; text analysis; text corpora; Databases; Dictionaries; Educational institutions; Electronic learning; Intelligent systems; Natural language processing; Speech analysis; Speech synthesis; Testing; Text analysis; Concatenation; E-Learning; Energy Normalization; Prosody Module; Speech Synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212634
Filename
5212634
Link To Document