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Abstract
This paper presents a modular connectionist architecture for all Mandarin syllables recognition. The technique used is based on the Time-Delay Neural Networks (TDNN). The architecture developed is capable of recognizing all 35 Finals, 21 Initials and 4 tones of the entire vocabulary of isolated Chinese syllables. Experimental results show a recognition accuracy of 93.9% for the Finals, 92.7% for the Initials and 99.3% for the tones, giving rise to an overall syllable recognition rate of about 90%.
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IEEE International Conference on Neural Networks - Conference Proceedings
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Date
1995
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Conference Paper