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https://scholarbank.nus.edu.sg/handle/10635/99489
| Title: | Connectionist architecture for all Mandarin syllables recognition | Authors: | Poo, Gee-Swee | Issue Date: | 1995 | Citation: | Poo, Gee-Swee (1995). Connectionist architecture for all Mandarin syllables recognition. IEEE International Conference on Neural Networks - Conference Proceedings 4 : 2041-2045. ScholarBank@NUS Repository. | 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%. | Source Title: | IEEE International Conference on Neural Networks - Conference Proceedings | URI: | http://scholarbank.nus.edu.sg/handle/10635/99489 |
| Appears in Collections: | Staff Publications |
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