Please use this identifier to cite or link to this item:
|Title:||Connectionist architecture for all Mandarin syllables recognition|
|Source:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 9, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.