NDLI: The application of DLB algorithm in distributed speech dialogue system

Content Provider	IEEE Xplore Digital Library
Author	Heng Wang Limin Du
Copyright Year	2003
Description	Author affiliation: Dept. of Biomed. Eng., Shanghai Jiao Tong Univ., China (Heng Wang)
Abstract	This paper presents our recent work towards development of a distributed speech interactive system, which was a human computer interactive dialogue system for stock and calling for people by phone. This system integrated speech recognition (ASR), text to speech (TTS) and natural language perception (NLP) technologies with a distributed architecture to allow multi-users to access and converse with it concurrently. During a typical telephone based interaction, users could retrieve up-to-date stock information and calling for somebody by directly speaking their name. Our paper proposed an efficient algorithm with sender active and non-preemptive concepts in order to solve the loads allocating when multi-users accessed the system and gave rise to much burden to the recognition servers and TTS servers. This paper was composed of five parts, 1) an introduction about why such architecture was built; 2) an overview of the system; 3) proposal and implementation of the algorithm; 4) evaluation and measurement of the system performance based on the architecture; and 5) gives a brief summary.
Sponsorship	Chinese High-tech Development Program Chinese Academy of Sci. Chinese Soc. of Automation IEEE Systems, Man and Cybernetics Soc
Starting Page	1273
Ending Page	1277
File Size	1117587
Page Count	5
File Format	PDF
ISBN	078037925X
DOI	10.1109/RISSP.2003.1285775
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interactive systems Natural languages Humans Speech recognition Computer architecture Telephony Speech synthesis Application software Distributed computing Automatic speech recognition
Content Type	Text
Resource Type	Article

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