A Study of the Pitch Estimation Algorithms of Speech Signal by Using Average Magnitude Difference Function (AMDF)

So Shin-ae; Kanghee Lee; Kwang-Bock You; 임하영; 박지수

doi:http://dx.doi.org/10.14257/AJMAHS.2017.04.41

A Study of the Pitch Estimation Algorithms of Speech Signal by Using Average Magnitude Difference Function (AMDF)

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AMDF 함수를 이용한 음성 신호의 피치 추정 Algorithm들에 관한 연구

Type: Academic journal

Author: So Shin-ae (숭실대학교) Kanghee Lee (숭실대학교) Kwang-Bock You (숭실대학교) 임하영 (숭실대학교) 박지수 (숭실대학교)

Journal: 인문사회과학기술융합학회 예술인문사회 융합 멀티미디어 논문지 예술인문사회 융합 멀티미디어 논문지 제7권 제4호

Published: 2017.4

Pages: 235 - 242 (8page)

DOI: http://dx.doi.org/10.14257/AJMAHS.2017.04.41

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A Study of the Pitch Estimation Algorithms of Speech Signal by Using Average Magnitude Difference Function (AMDF)

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Peaks (or Nulls) finding algorithms for Average Magnitude Difference Function (AMDF) of speech signal are proposed in this paper. Both AMDF and Autocorrelation Function (ACF) are widely used to estimate a pitch of speech signal. It is well known that the estimation of the fundamental requency (F0) for speech signal is not only important but also very difficult. In this paper, two algorithms, are exploited the characteristics of AMDF, are proposed. First, the proposed algorithm which has a Threshold value is applied to the local minima to detect a pitch period. The Other proposed algorithm to estimate a pitch period of speech signal is utilized the relationship between AMDF and ACF. The data in this paper, is recorded by using general commercial device, is composed of Korean emotion expression words. The recorded speech data are applied to two proposed algorithms and tested their performance.

#Average Magnitude Difference Function (AMDF) #Peaks (Nulls) #Fundamental Frequency #Autocorrelation Function (ACF) #피치 주기 #감정 표현 언어 #Average Magnitude Difference Function (AMDF) #Peaks (Nulls) #Fundamental Frequency #Autocorrelation Function (ACF) #Pitch #Emotion Expression words

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References (10)

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Savitha Upadhya / 2012 / Pitch Detection in Time and Frequency Domain / ICCICT

E. Verteletskaya / Performance Evaluation of Pitch Detection Algorithms

L.R. Rabiner / 2011 / Theory and Applications of Digital Speech Processing / Prentice Hall

Myron J. Ross / 1974 / Average Magnitude Difference Function Pitch Extractor / IEEE Trans. On ASSP ASSP-22(5)

S.H. Woo / 2008 / A study on Teaching plan of Hangeul Alphabet for English Native Speaker

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