Optimization of mel-cepstrum for speech recognition

Donghoon Hyun, Chulhee Lee

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)


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 languageEnglish
Pages (from-to)I-500 - I-503
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 1999
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: 1999 Oct 121999 Oct 15

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture


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