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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sundaram, S. Narayanan, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. Eng.-Syst., Southern California Univ., Los Angeles, CA (Sundaram, S.; Narayanan, S.) |
| Abstract | We present a query-by-example audio retrieval framework by indexing audio clips in a generic database as points in a latent perceptual space. First, feature-vectors extracted from the clips in the database are grouped into reference clusters using an unsupervised clustering technique. An audio clip-to-cluster matrix is constructed by keeping count of the number of features that are quantized into each of the reference clusters. By singular-value decomposition of this matrix, each audio clip of the database is mapped into a a point in the latent perceptual space. This is used for indexing the retrieval system. Since each of the initial reference clusters represents a specific perceptual quality in a perceptual space (similar to words that represent specific concepts in the semantic space), querying-by-example results in clips that have similar perceptual qualities. Subjective human evaluation indicates about 75% retrieval performance. Evaluation on semantic categories reveals that the system performance is comparable to other proposed methods. |
| Starting Page | 49 |
| Ending Page | 52 |
| File Size | 267750 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424414833 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2008.4517543 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Indexing Audio databases Humans Information retrieval Spatial databases Feature extraction Matrix decomposition Content based retrieval Acoustic measurements Labeling similarity measure audio retrieval query by example audio indexing audio representation audio clustering |
| Content Type | Text |
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