Pitch Estimation of Noisy Speech Signals using Empirical Mode Decomposition

被引：0

作者：

Molla, Md. Khademul Islam ^{[1
]}

Hirose, Keikichi ^{[1
]}

Minematsu, Nobuaki ^{[2
]}

Hasan, Md. Kamrul ^{[3
]}

机构：

[1] Univ Tokyo, Dept Informat & Commun Engn, Tokyo, Japan

[2] Univ Tokyo, Dept Frontier Informat, Tokyo, Japan

[3] Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka, Bangladesh

来源：

INTERSPEECH 2007: 8TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION, VOLS 1-4 | 2007年

关键词：

empirical mode decomposition; pitch estimation; normalized autocorrelation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a pitch estimation method of noisy speech signal using empirical mode decomposition (EMD). The normalized autocorrelation function (NACF) of the noisy speech signal is decomposed into a finite set of band-limited signals termed as intrinsic mode functions (IMFs) using EMD. The periodicity of one IMF is supposed to be equal to the accurate pitch period. A conventional autocorrelation based pitch period detection method is used to select the IMF with pitch period. The accurate pitch period is obtained from the selected IMF. The pitch estimation performance in term of gross pitch error (GPE) of the proposed algorithm is compared with recently proposed methods. The experimental results show that the EMD based algorithm performs better in pitch estimation of noisy speech.

引用

页码：2177 / +

页数：2

共 50 条

[41] An improved empirical mode decomposition by using dyadic masking signals
Yang, Yanli
Deng, Jiahao
Kang, Dali
SIGNAL IMAGE AND VIDEO PROCESSING, 2015, 9 (06) : 1259 - 1263
[42] INVESTIGATION OF AUDIO SIGNALS WATERMARKING USING EMPIRICAL MODE DECOMPOSITION
Bennet, Anto
Sankaranarayanan
Kandasamy, Ramesh
Rathna
Jaishreebai
Nalini
IIOAB JOURNAL, 2016, 7 (09) : 309 - 314
[43] Using empirical mode decomposition for underwater acoustic signals recognition
Department of Electrical Engineering, Chung Cheng Institute of Technology, National Defense University
Chung Cheng Ling Hsueh Pao, 2007, 2
[44] Robust Speech Analysis Based on Source-Filter Model Using Multivariate Empirical Mode Decomposition in Noisy Environments
Boonkla, Surasak
Unoki, Masashi
Makhanov, Stanislav S.
SPEECH AND COMPUTER, 2016, 9811 : 580 - 587
[45] Model-Based Estimation of Instantaneous Pitch in Noisy Speech
Hong, Jung Ook
Wolfe, Patrick J.
INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5, 2009, : 100 - 103
[46] A robust pitch detection algorithm for speech signals in a practical noisy environment
Shahnaz, C.
Zhu, W. -P.
Ahmad, M. O.
2007 50TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-3, 2007, : 330 - 333
[47] Instantaneous Pitch Estimation of Noisy Speech Signal with Multivariate SST
Molla, Md Khademul Islam
Qaosar, Mahboob
Hirose, Keikichi
2016 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2016, : 770 - 773
[48] A Temporal Matching Method for Pitch Determination from Noisy Speech Signals
Shahnaz, C.
Zhu, W. -P.
Ahmad, M. O.
2008 51ST MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 2008, : 938 - 941
[49] Robust Determination of Periodic Correlation of Speech Signals using Empirical Mode Decomposition and Higher-Order Spectra
Molla, Md. Khademul Islam
Hirose, Keikichi
Minematsu, Nobuaki
2008 14TH ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS, (APCC), VOLS 1 AND 2, 2008, : 597 - +
[50] Horn Extraction in Noisy Environments by Empirical Mode Decomposition
Nakanishi, Masaki
Mitsukura, Yasue
INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2011, 14 (08): : 2759 - 2766

← 1 2 3 4 5 →