Title :
A simple algorithm of pitch detection by using fast direct transform
Author :
Yazama, Yuuki ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio
Author_Institution :
Fac. of Eng., The Univ. of Tokushima, Japan
Abstract :
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 an autocorrelation method by using FDT algorithm.
Keywords :
feature extraction; frequency estimation; speech processing; transforms; FDT algorithm; autocorrelation method; fast direct transform; frequency detection; frequency domain; fundamental frequency; pitch detection algorithm; speech processing; teacher data; Arithmetic; Cepstral analysis; Cepstrum; Data mining; Feature extraction; Frequency domain analysis; Signal analysis; Signal detection; Speech analysis; Speech processing; fast direct transform; pitch detection algorithm; speech processing;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2005. CIRA 2005. Proceedings. 2005 IEEE International Symposium on
Print_ISBN :
0-7803-9355-4
DOI :
10.1109/CIRA.2005.1554278