Name
Abstract | ||
|---|---|---|
It has been shown through a number of experiments that neural networks can be used for a phonetic typewriter. Algorithms can be looked on as producing self-organizing feature maps which correspond to phonemes. In the Chinese language the utterance of a Chinese character consists of a very simple string of Chinese phonemes. With this as a starting point, a neural network feature map for Chinese phonemes can be built up. In this paper, feature map structures for Chinese phonemes are discussed and tested. This research on a Chinese phonetic feature map is important both for Chinese speech recognition and for building a Chinese phonetic typewriter. |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1016/0925-2312(92)90049-U | Neurocomputing |
Keywords | Field | DocType |
Feature maps,speech processing,phoneme recognition | Speech processing,Pattern recognition,Computer science,Utterance,Speech recognition,Phonetic search technology,Artificial intelligence,Natural language processing,Artificial neural network,Phoneme recognition | Journal |
Volume | Issue | ISSN |
4 | 1-2 | 0925-2312 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P Wu | 1 | 1 | 0.35 |
| Kevin Warwick | 2 | 129 | 21.37 |
| M Koska | 3 | 1 | 0.35 |