Yuan, Jingsong (2006) Identification of Vessels from Engine Sounds by Spectral Comparison and Verification. [MIMS Preprint]
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Abstract
We consider the problem of identifying a vessel from its engine sound. A database of known vessels is used for comparison of acoustic characteristics in the frequency domain. Only one training sample is required from each class for classification. With more training samples, a vessel is not only classified but also verified whether it belongs to the same class as its closest match in the database. The acoustic signals are regarded as stationary time series with mixed spectra. We boost their power by adding a small amount of noise in order to assist classification. Three nonparametric estimators of spectra are compared in classification and verification experiments. The case of a vessel not being represented in the database is also considered with the intention to have it rejected at the verification stage.
| Item Type: | MIMS Preprint |
|---|---|
| Additional Information: | This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. |
| Uncontrolled Keywords: | Acoustic signal analysis; spectral analysis; pattern classification; pattern verification |
| Subjects: | MSC 2010, the AMS's Mathematics Subject Classification > 62 Statistics |
| Depositing User: | Dr J Yuan |
| Date Deposited: | 27 Jul 2006 |
| Last Modified: | 08 Nov 2017 18:18 |
| URI: | https://eprints.maths.manchester.ac.uk/id/eprint/416 |
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