There are some fundamental frequency detection methods for speech processing such as cepstrum analysis. However, the traditional methods need a lot of computing time and arithmetic processing. Moreover, a speech signal is converted into frequency domain by using an analysis section. In this paper, we propose a fast direct transformation (FDT). FDT extracts an amplitude feature of a signal by a simple computation. We perform the fundamental frequency detection of speech signal by using FDT. We compare the FDT algorithm with the conventional fundamental frequency detection methods by using teacher data(fundamental frequency) detected by the inspection. We perform an improvement as compared with a autocorrelation method by using FDT algorithm.
|出版ステータス||Published - 2005 12 12|
|イベント||2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA 2005 - Espoo, Finland|
継続期間: 2005 6 27 → 2005 6 30
|Other||2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA 2005|
|Period||05/6/27 → 05/6/30|
ASJC Scopus subject areas
- Computational Mathematics