DocumentCode :
2659456
Title :
A response generation in the Mongolian spoken language system for accessing to multimedia knowledge base
Author :
Davaatsagaan, Munkhtuya ; Paliwal, Kuldip K.
Author_Institution :
Signal Process. Lab., Griffith Univ., Brisbane, QLD
fYear :
2008
fDate :
15-19 Dec. 2008
Firstpage :
53
Lastpage :
56
Abstract :
By using automatic speech recognition (ASR) and text to speech (TTS) systems, which have been available in Mongolian for last few years, this research set out to implement a new version of the Mongolian Virtual Education Environment (VEE) that has not included a speech interface. The spoken language system aims to provide a natural interface between trainees and the environment by using simple and natural dialogues to enable the user to access the multimedia knowledge base of the VEE. We have worked on the response generation part of the system. This paper describes a TTS system for the VEE for university courses held in Mongolian. A concatenative speech synthesizer for Mongolian is applied for the TTS in response generation. A Festvox framework for unit selection speech synthesis was used to build the Mongolian voice. We discuss aspects of the voice development process and the results of a perceptual test of the synthesized voice.
Keywords :
computer aided instruction; multimedia databases; speech recognition; speech synthesis; Festvox framework; Mongolian spoken language system; automatic speech recognition; multimedia knowledge base; response generation; speech synthesizer; text to speech systems; virtual education environment; voice development process; Application software; Automatic speech recognition; Computer science education; Multimedia systems; Natural languages; Object oriented modeling; Signal generators; Signal processing; Speech synthesis; Synthesizers; Response generation; Spoken language application;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spoken Language Technology Workshop, 2008. SLT 2008. IEEE
Conference_Location :
Goa
Print_ISBN :
978-1-4244-3471-8
Electronic_ISBN :
978-1-4244-3472-5
Type :
conf
DOI :
10.1109/SLT.2008.4777838
Filename :
4777838
Link To Document :
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