Abstract
In this paper we propose a method to optimize the performance of mel-cepstrum that is widely used in speech recognition. Typically, mel-cepstrum is obtained by critical band filters. Thus, the characteristics of filters determine mel-cepstrum, resulting in different performance. By changing the characteristics of filters such as shape, center frequency, and bandwidth, we analyze the performance of mel-cepstrum. Then we propose an algorithm to optimize the filters using the simplex method. Experiments with Korean digit words show that the recognition rate can be improved about 3-5%.
| Original language | English |
|---|---|
| Pages (from-to) | I-500 - I-503 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 1 |
| Publication status | Published - 1999 |
| Event | 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn Duration: 1999 Oct 12 → 1999 Oct 15 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Hardware and Architecture