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) are demonstrated in the speaker-dependent mode. Comparisons with the DTW algorithm are evaluated to show that the performance is satisfactory. An overall recognition rate of 90.14% is obtained.
|Number of pages||6|
|Journal||IEEE Transactions on Signal Processing|
|Publication status||Published - 1991 Sept|
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering