| Título: | Dual Shots Detection |
| Autores: |
Vozarikova, Eva; Deptartment of Electronics and Multimedia Communications
Technical University of Kosice
Kosice Juhar, Jozef; Deptartment of Electronics and Multimedia Communications Technical University of Kosice Kosice Cizmar, Anton; Deptartment of Electronics and Multimedia Communications Technical University of Kosice Kosice |
| Fecha: | 2012-11-24 |
| Publicador: | Advances in Electrical and Electronic Engineering |
| Fuente: |
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| Tipo: |
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| Tema: | Detection; dual shots; feature supervector. |
| Descripción: | The identification of a special kind of acoustic events such as dual gunshots and single gunshots in the traffic background is described in this work. The recognition of dangerous sounds may help to prevent the abnormal or criminal activities that happened near to the public transport stations. Therefore in this paper the methodology of dual shots detection in a noisy background was developed and evaluated. For this purpose, we investigated various feature extraction methods and combinations of different feature sets. These approaches were evaluated by the widely used classification technique based on the Hidden Markov Models. |
| Idioma: | Inglés |
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