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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pye, D. |
| Copyright Year | 2000 |
| Description | Author affiliation: AT&T Labs., Cambridge, UK (Pye, D.) |
| Abstract | The literature on content-based music retrieval has largely finessed acoustic issues by using MIDI format music. This paper however considers content-based classification and retrieval of a typical (MPEG layer III) digital music archive. Two statistical techniques are investigated and appraised. Gaussian mixture modelling performs well with an accuracy of 92% on a music classification task. A tree-based vector quantization scheme offers marginally worse performance in a faster, scalable framework. Good results are also reported for music retrieval-by-similarity using the same techniques. Mel-frequency cepstral coefficients parameterize the audio well, though are slow to compute from the compressed domain. A new parameterization (MP3CEP), based on a partial decompression of MPEG layer III audio, is therefore proposed to facilitate music processing at user-interactive speeds. Overall, the techniques described provide useful tools in the management of a typical digital music library. |
| Starting Page | 2437 |
| Ending Page | 2440 |
| File Size | 432199 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780362934 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2000.859334 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-06-05 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Content management Multiple signal classification Music information retrieval Content based retrieval Cepstral analysis Vector quantization Laboratories Appraisal Transform coding Software libraries |
| Content Type | Text |
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