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A hierarchical neural network model based on a C/V segmentation algorithm for isolated Mandarin speech recognition

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4 Author(s)
Jhing-Fa Wang ; Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Chung-Hsien Wu ; Shih-Hung Chang ; Lee, Jau-Yien

A novel algorithm simultaneously performing consonant/vowel (C/V) segmentation and pitch detection is proposed. Based on this algorithm, a consonant enhancement method and a hierarchical neural network scheme are explored for Mandarin speech recognition. As a result, an improvement of 12% in consonant recognition rate is obtained and the number of recognition candidates is reduced from 1300 to 63. A series of experiments over all Mandarin syllables (about 1300) is demonstrated in the speaker-dependent mode. Comparisons with the decoder timer waveform algorithm are evaluated to show that the performance is satisfactory. An overall recognition rate of 90.14% is obtained

Published in:

Signal Processing, IEEE Transactions on  (Volume:39 ,  Issue: 9 )

Date of Publication:

Sep 1991

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