A simple algorithm of pitch detection by using fast direct transform

Yuuki Yazama; Yasue Mitsukura; Minoru Fukumi; Norio Akamatsu

A simple algorithm of pitch detection by using fast direct transform

Yuuki Yazama, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Contribution to conference › Paper › peer-review

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 a autocorrelation method by using FDT algorithm.

Original language	English
Pages	205-209
Number of pages	5
Publication status	Published - 2005 Dec 12
Externally published	Yes
Event	2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA 2005 - Espoo, Finland Duration: 2005 Jun 27 → 2005 Jun 30

Other

Other	2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA 2005
Country/Territory	Finland
City	Espoo
Period	05/6/27 → 05/6/30

Keywords

Fast direct transform
Pitch detection algorithm
Speech processing

ASJC Scopus subject areas

Computational Mathematics

Cite this

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title = "A simple algorithm of pitch detection by using fast direct transform",

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 a autocorrelation method by using FDT algorithm.",

keywords = "Fast direct transform, Pitch detection algorithm, Speech processing",

author = "Yuuki Yazama and Yasue Mitsukura and Minoru Fukumi and Norio Akamatsu",

year = "2005",

month = dec,

day = "12",

language = "English",

pages = "205--209",

note = "2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA 2005 ; Conference date: 27-06-2005 Through 30-06-2005",

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T1 - A simple algorithm of pitch detection by using fast direct transform

AU - Yazama, Yuuki

AU - Mitsukura, Yasue

AU - Fukumi, Minoru

AU - Akamatsu, Norio

PY - 2005/12/12

Y1 - 2005/12/12

N2 - 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.

AB - 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.

KW - Fast direct transform

KW - Pitch detection algorithm

KW - Speech processing

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M3 - Paper

AN - SCOPUS:28444498104

SP - 205

EP - 209

T2 - 2005 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA 2005

Y2 - 27 June 2005 through 30 June 2005

ER -

A simple algorithm of pitch detection by using fast direct transform

Abstract

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Keywords

ASJC Scopus subject areas

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