This thesis deals with the issue of algorithmic voice activity detection. Impacts of adverse conditions on the reliability of detection is analysed, and main historical and up-to-date approaches to this issue are discussed. Simulations on both synthetic, and application specific labeled speech databases are used to support the theoretical analysis of important VAD methods. Based on the theoretical analysis together with the performance results, an optimization is proposed that is capable to overcome some limitations of the current methods when dealing with variable working conditions.}
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:233660 |
| Date | January 2014 |
| Creators | Míča, Ivan |
| Contributors | Přibil, Jiří, Vích, Robert, Smékal, Zdeněk |
| Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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