Research on Pitch Extraction Algorithm of Noisy Speech

被引：0
|
作者：
Xing Hongyan [1 ]
Yu Cuihua [1 ]
Li Peng [1 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Coll Elect & Informat Engn, Nanjing, Jiangsu, Peoples R China
来源：
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷
关键词：
Hilbert-Huang transform; EMD soft-threshold de-noising method; pitch detection;
D O I：
10.4028/www.scientific.net/AMR.433-440.4675
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Pitch detection in noisy environment plays an important role in speech analyzing and recognition. In the light of the properties of Hilbert-Huang transform and the EMD soft-threshold de-noising method, an effective pitch detection method for noisy speech signal is proposed in this paper. Firstly, the EMD soft-threshold de-noising method is applied to realize the background noise reduction, secondly, using the Hilbert-Huang transform to detect the pitch period of the de-noising speech signal. The analysis proposed in this paper show that, compared with the conventional methods of the pitch detection of the noisy speech, especially for the low signal to noise ratio (SNR), this approach has a higher accuracy.
引用
收藏
页码：4675 / 4678
页数：4
相关论文
共 50 条
  • [21] Pitch Estimation of Noisy Speech Signals using EMD-Fourier Based Hybrid Algorithm
    Roy, Sujan Kumar
    Molla, Md. Khademul Islam
    Hirose, Keikichi
    Hasan, Md Kamrul
    2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, 2010, : 2658 - 2661
  • [22] Estimation and Tracking of Pitch for Noisy Speech Signals using EMD based Autocorrelation Function Algorithm
    Pratibha, k
    Chandrashekar, H. M.
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT), 2017, : 2071 - 2075
  • [23] PITCH EXTRACTION AND SEPARATION OF OVERLAPPING SPEECH
    DENBIGH, PN
    ZHAO, J
    SPEECH COMMUNICATION, 1992, 11 (2-3) : 119 - 125
  • [24] EXTRACTION AND PORTRAYAL OF PITCH OF SPEECH SOUNDS
    GRUENZ, OO
    SCHOTT, LO
    JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1949, 21 (05): : 487 - 495
  • [25] An Initial Research: Towards Accurate Pitch Extraction for Speech Synthesis Based on BLSTM
    Zheng, Yibin
    Wen, Zhengqi
    Liu, Bin
    Li, Ya
    Tao, Jianhua
    PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016), 2016, : 165 - 170
  • [26] A multipitch tracking algorithm for noisy speech
    Wu, MY
    Wang, DL
    Brown, GJ
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2003, 11 (03): : 229 - 241
  • [27] 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
  • [28] Neural Network Based Pitch Tracking in Very Noisy Speech
    Han, Kun
    Wang, DeLiang
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2014, 22 (12) : 2158 - 2168
  • [29] Determination of pitch of noisy speech using dominant harmonic frequency
    Hasan, MK
    Shahnaz, C
    Fatath, A
    PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II: COMMUNICATIONS-MULTIMEDIA SYSTEMS & APPLICATIONS, 2003, : 556 - 559
  • [30] Research on the Algorithm of Noisy-Robust Tibetan Speech Recognition Based on RBF
    Pan, Xiuqin
    Lu, Yong
    Cao, Yongcun
    Zhang, Hong
    Zhao, Yue
    Xu, Xiaona
    2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION WORKSHOP: IITA 2008 WORKSHOPS, PROCEEDINGS, 2008, : 416 - 419
12345