Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/99608
Title: Two-level TDNN (TLDTDNN) technique for large vocabulary Mandarin FINAL recognition
Authors: Poo, Gee-Swee 
Issue Date: 1994
Source: Poo, Gee-Swee (1994). Two-level TDNN (TLDTDNN) technique for large vocabulary Mandarin FINAL recognition. IEEE International Conference on Neural Networks - Conference Proceedings 7 : 4396-4399. ScholarBank@NUS Repository.
Abstract: A Two-Level Time-Delay Neural Network (TLTDNN) technique has been developed to recognize all Mandarin Finals of the entire Chinese syllables. The first level discriminates the vowel-group based on (a,e,i,o,u,v) and the nasal-group based on nasal ending, (-n,-ng,-others). Orthogonal combination of the two groupings in the first level enables the second level discrimination of all 35 Mandarin Finals. The technique was thoroughly tested with 8 sets of 1265 isolated Hanyu Pinyin syllables, with 6 sets used for training and 2 sets used for testing. The overall result shows that a high recognition rate of 95.3% for inside testing and 93.9% for outside testing is achievable.
Source Title: IEEE International Conference on Neural Networks - Conference Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/99608
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