Sound based snore signal analysis using ELM
Snoring is a common symptom faced by many people. Its features can be analysed to provide insight or help in the diagnosis of sleep related disorders. This project aims to use feature extraction and a learning machine algorithm to predict the presence of snores in a given sound sample.
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2012
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| Online Access: | http://hdl.handle.net/10356/50267 |