Paper
10 September 2007 A peer-to-peer music sharing system based on query-by-humming
Author Affiliations +
Abstract
Today, the main traffic in peer-to-peer (P2P) network is still multimedia files including large numbers of music files. The study of Music Information Retrieval (MIR) brings out many encouraging achievements in music search area. Nevertheless, the research of music search based on MIR in P2P network is still insufficient. Query by Humming (QBH) is one MIR technology studied for years. In this paper, we present a server based P2P music sharing system which is based on QBH and integrated with a Hierarchical Index Structure (HIS) to enhance the relation between surface data and potential information. HIS automatically evolving depends on the music related items carried by each peer such as midi files, lyrics and so forth. Instead of adding large amount of redundancy, the system generates a bit of index for multiple search input which improves the traditional keyword-based text search mode largely. When network bandwidth, speed, etc. are no longer a bottleneck of internet serve, the accessibility and accuracy of information provided by internet are being more concerned by end users.
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Jianrong Wang, Xinglong Chang, Zheng Zhao, Yebin Zhang, and Qingwei Shi "A peer-to-peer music sharing system based on query-by-humming", Proc. SPIE 6773, Next-Generation Communication and Sensor Networks 2007, 67730E (10 September 2007); https://doi.org/10.1117/12.730912
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KEYWORDS
Databases

Internet

Network architectures

Binary data

Algorithm development

Data storage

Detection and tracking algorithms

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