Title :
Design of Multi-Singing Karaoke System and its Application in Customer Finance-aided Service on Internet
Author :
Wang, Jian-Hong ; Feng, Shih-Chuan ; Pan, J.-Y.
Author_Institution :
Dept. of Commun. Eng., National Chung Cheng Univ.
fDate :
March 1 2007-April 5 2007
Abstract :
Financial engineering nowadays is heavily depending on the real-time investment decision-support system while providing the suggestions to investors for rebalancing their portfolios. Because of the rapid growth of interactive technologies in Internet, on-line customer finance-aided service (CFAS) is playing an important role to help discussing, exchanging valuable information or enjoying entertainment each other simultaneously based on the platform of multi-singing karaoke system. Today´s online singing software allows only one-microphone performance. Duo singers can only take turns and use the same microphone. Also, they cannot hear each other simultaneously. This is one big disadvantage of online multi-singing software, hence brings the problems to the quality of CFAS. Therefore, the main purpose of this study is to create a system that allows several singers to sing in different places simultaneously and hear the other singers´ voices at the same time. This system catches and analyzes the singers´ signals from remote computer sources through Media Server. Also by network broadcasting, this system transmits the signals from the inviter´s end to the invitee´s end, which is deeply improving the quality of CFAS
Keywords :
Internet; customer services; decision support systems; entertainment; finance; Internet broadcasting; financial engineering; information exchange; media server; multisinging karaoke system; network broadcasting; online customer finance-aided service; online karaoke software; real-time investment decision-support system; Broadcasting; Investments; Microphones; Network servers; Portfolios; Real time systems; Signal analysis; Software performance; Software quality; Web and internet services; Media Server; Online karaoke software; customer finance-aided service; financial engineering; internet broadcasting;
Conference_Titel :
Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0705-2
DOI :
10.1109/CIDM.2007.368953