A Microsoft Windows program is designed to implement a text independent speaker recognition system in numerous speaker cases based on Mel-Cepstrum and hierarchical tree classifier and binary vector quantization. Experimental result show that the accuracy is barely affected by increasing population sizes. And the speed of recognizing is fast than traditional methods.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0628101-113427 |
| Date | 28 June 2001 |
| Creators | Huang, Chun-Hao |
| Contributors | Tsung Lee, Chih-Chien Chen, Chii-Maw Uang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0628101-113427 |
| Rights | unrestricted, Copyright information available at source archive |
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