Non-linear features and feature selection algorithms for speech based prediction of body mass index (BMI)/
The current research explores the topic on prediction of BMI status (normal, overweight and obese) using speech signal (/ah/ sound). In this research work, the speech samples were collected only from volunteers (age varies from Twenty years to Forty years) and wavelet packet based nonlinear entropy...
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| Format: | Thesis Software eBook |
| Language: | English |
| Published: |
Perlis, Malaysia
School of Mechatronic Engineering
2017
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