DocumentCode :
3226076
Title :
ASEKS: A P2P Audio Search Engine Based on Keyword Spotting
Author :
Ye, Ruizhi ; Yang, Yingchun ; Shan, Zhenyu ; Liu, Yiyan ; Zhou, Sen
Author_Institution :
Inst. of Syst. Archit., Zhejiang Univ., Hangzhou
fYear :
2006
fDate :
Dec. 2006
Firstpage :
615
Lastpage :
620
Abstract :
Currently, most search engines are text-based and their structures are centralized. These kinds of engine are sufficient for searching text information in Internet. However, while searching audio resource, an efficient content-based audio search engine is required. In this paper, we demonstrate an audio search engine ASEKS based on keyword spotting technology in the peer-to-peer (P2P) network. The indexing sub-model spots information in local audio files and generates indices for later query; and the P2P networks distributes the query and gathers the results. ASEKS supports scalability and avoids the bottleneck of network load that usually exists in centralized architecture. The average accuracy of the keyword spotting sub-model is 88.4% in detection rate on the 5.267 false alarm per keyword per hour
Keywords :
audio coding; peer-to-peer computing; query processing; search engines; P2P audio search engine; keyword spotting technology; peer-to-peer network; query processing; Databases; File servers; Indexing; Internet; Network servers; Peer to peer computing; Scalability; Search engines; Speech; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia, 2006. ISM'06. Eighth IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7695-2746-9
Type :
conf
DOI :
10.1109/ISM.2006.33
Filename :
4061222
Link To Document :
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