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|Title:||Sound based snore signal analysis using ELM||Authors:||Toh, Violet Mei Sze.||Keywords:||DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing||Issue Date:||2012||Abstract:||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.||URI:||http://hdl.handle.net/10356/50267||Rights:||Nanyang Technological University||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Student Reports (FYP/IA/PA/PI)|
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