Name
Abstract | ||
|---|---|---|
Summary form only given. In speech recognition, training and recognition processes can be conducted in different environments. For example, the word pattern may be extracted from clean speech, while the recognition may take place in background noise. Further more, since the vocabulary size is limited, it is possible, in the training phase, to extract the spectral information for all the words to be recognized. The noise reduction filter for each word can thus be constructed from this spectral information |
Year | DOI | Venue |
|---|---|---|
1989 | 10.1109/CICCAS.1991.184268 | EUROSPEECH |
Keywords | Field | DocType |
spectral information,word pattern,speech recognition,degraded speech recognition,filtering and prediction theory,spectral analysis,interference suppression,training phase,noise reduction filter | Pattern recognition,Computer science,Speech recognition,Artificial intelligence | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xixian Chen | 1 | 26 | 11.28 |
| Changnian Cai | 2 | 16 | 5.85 |