DocumentCode
2719406
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
fYear
2005
fDate
27-30 June 2005
Firstpage
205
Lastpage
209
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Robotics and Automation, 2005. CIRA 2005. Proceedings. 2005 IEEE International Symposium on
Print_ISBN
0-7803-9355-4
Type
conf
DOI
10.1109/CIRA.2005.1554278
Filename
1554278
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