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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei-Qiang Zhang Jia Liu |
| Copyright Year | 2007 |
| Description | Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Wei-Qiang Zhang; Jia Liu) |
| Abstract | Specific audio retrieval, also referred as similarity-based audio retrieval, means to detect and locate a given query audio segment in a long stored audio signal. In this paper, we proposed a two-stage method for specific audio retrieval. In the first stage, the histogram pruning algorithm is used for coarse detection. In the second stage, the partial distance technique is used for fine verification and localization. Experimental results show that the two-stage coarse-to-fine method offers fast search speed and improves the robustness to additive noise and compression encoding. |
| File Size | 121399 |
| File Format | |
| ISBN | 1424407273 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2007.367169 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-04-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Music information retrieval Histograms Content based retrieval Information retrieval Noise robustness Additive noise Encoding Educational technology Indexing Streaming media two-stage method Audio retrieval histogram pruning |
| Content Type | Text |
| Resource Type | Article |
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