There are a lot of difficulties that have to be overcome in the speaker-independent (S.I.) phrase recognition system . And the feasibility of accurate ,real-time and robust system pose of the greatest challenges in the system.
In this thesis ,the speaker-independent phase recognition system is based on Hidden Markov Model (HMM). HMM has been proved to be of great value in many applications, notably in speech recognition. HMM is a stochastic approach which characterizes many of the variability in speech signal. It applys the state-of-the-art approach to Automatic Speech Recognition .
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0912102-022621 |
| Date | 12 September 2002 |
| Creators | Lai, Zhao-Hua |
| Contributors | Chih-Chien Chen, Tsong Lee, 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-0912102-022621 |
| Rights | restricted, Copyright information available at source archive |
Page generated in 0.002 seconds