This work describes contemporary methods for sound data classification and their application on sound recordings. This work deals with the selection of sound signal characteristics appropriate for concrete classification criteria followed by the exploration of proper types of artificial neural networks for this task. Different topologies and learnings algorithms of chosen neural networks are proposed and their performance in this classification is compared. Results compared are discussed and the best solution for sound data classificaton based on the content of recordings is chosen. This work also includes the chosen algorithms implementation into the software solution of my own.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:249258 |
| Date | January 2011 |
| Creators | Fejfar, Jiří |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
Page generated in 0.1068 seconds