Neural network feature maps for Chinese phonemesWu, P., Warwick, K. and Moska, M. (1992) Neural network feature maps for Chinese phonemes. Neurocomputing, 4 (1-2). pp. 109-112. ISSN 0925-2312 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1016/0925-2312(92)90049-U Abstract/SummaryIt 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.
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