Name
Abstract | ||
|---|---|---|
This paper describes our recent work on the development of a large-vocabulary, speaker-independent continuous speech recognition system for Cantonese (a major Chinese dialect). Both acoustic modeling and language modeling are being addressed. For acoustic modeling, we focus on right-context-dependent sub-syllable units. Tying of HMM at model as well as state level is applied based on phonetic knowledge and the decision-tree approach. Statistical language model is built from large amount of newspaper text. The overall recognition accuracy for syllable and Chinese character are 81.83% and 68.94% respectively. |
Year | Venue | Keywords |
|---|---|---|
1999 | EUROSPEECH | lvcsr,cantonese speech recognition,language modeling,acoustic modeling,context dependent,speech recognition,decision tree,language model |
Field | DocType | Citations |
Computer science,Speech recognition,Speaker recognition,Artificial intelligence,Natural language processing,VoxForge,Language model,Acoustic model | Conference | 8 |
PageRank | References | Authors |
1.03 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiu Wing Wong | 1 | 24 | 3.81 |
| Ka-Fai Chow | 2 | 10 | 2.12 |
| Wai H. Lau | 3 | 25 | 4.43 |
| Wai-Kit Lo | 4 | 222 | 23.01 |
| Tan Lee | 5 | 476 | 74.69 |
| Pak-chung Ching | 6 | 1366 | 139.74 |