In this thesis, a Mandarin toponym speech recognition system is developed using MFCC, LPC and HMM under Red Hat Linux 9.0. The system is based on monosyllable HMM's to select the initial toponym candidates, and its final classification result can be obtained by further pitch identification mechanisms. For speaker-dependent case, a 90% correct rate can be achieved approximately and the recognition process can be accomplished within 1.5 seconds on the average.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0831106-153520 |
| Date | 31 August 2006 |
| Creators | Wei, Hong-jhang |
| Contributors | Chih-chien Chen, Chii-maw Uang, Tsung Lee |
| 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-0831106-153520 |
| Rights | not_available, Copyright information available at source archive |
Page generated in 0.0021 seconds