In this thesis, the PC base and DSP base speech keyword retrieval and recognition systems could work. The keywords and describing sentences will not have the limit of word length and could be any languages. Besides, training speech models is not needed anymore. It means that the database gets its expansibility without training speech models again.
We can establish the system on the PC base, and calculate the program with fixed-point DSP board. In the processing of speech signal, lots of mathematical functions will be required. We must reach its immediately effect, so that the system could be useful. In addition, compared with floating point, the fixed point DSP cost much less; it makes the system nearer to users.
After being tested by experiments, the speech keyword retrieval and recognition system got great recognition and efficiency.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0711105-122542 |
| Date | 11 July 2005 |
| Creators | Lin, Bing-Hau |
| Contributors | I-Chih Kao, Chih-Chiang Cheng, Tzuen-Lih Chern, Chin-Ching Huang, Yung-Chun Wu |
| 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-0711105-122542 |
| Rights | campus_withheld, Copyright information available at source archive |
Page generated in 0.0018 seconds