Speech and Breath-Sound-Based Person Identification with Sparse Training Data
碩士 === 國立臺北科技大學 === 電資國際專班 === 107 === This study aims to develop a person identification (PID) system based on combined use of bronchial breath sounds and speech signals acquired by stethoscope. Two major methods, including support vector machines, and artificial neural networks are evaluated in th...
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| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/tpzt27 |