A System for Finding Speech Formants and Modulations via Energy Separation

被引:14
|
作者
Hanson, Helen M. [1 ]
Maragos, Petros [2 ]
Potamianos, Alexandros [2 ]
机构
[1] MIT, Elect Res Lab, Cambridge, MA 02139 USA
[2] Harvard Univ, Div Appl Sci, Cambridge, MA 02138 USA
来源
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING | 1994年 / 2卷 / 03期
基金
美国国家科学基金会;
关键词
Algorithms - Amplitude modulation - Approximation theory - Bandpass filters - Convergence of numerical methods - Estimation - Frequency modulation - Frequency response - Iterative methods - Mathematical models - Polynomials - Speech recognition;
D O I
10.1109/89.294358
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This correspondence presents an experimental system that uses an energy-tracking operator and a related energy separation algorithm to automatically find speech formants and amplitude/frequency modulations in voiced speech segments. Initial estimates of formant center frequencies are provided by either LPC or morphological spectral peak picking. These estimates are then shown to be improved by a combination of bandpass filtering and iterative application of energy separation.
引用
收藏
页码:436 / 443
页数:8
相关论文
共 50 条
  • [31] Oxymatrine impedes the progression of endotoxin-induced glaucoma via redox system modulations
    Das, Ashmita
    Kashyap, Onkar
    Pandey, Devi P.
    Bodakhe, Surendra H.
    JOURNAL OF BIOCHEMICAL AND MOLECULAR TOXICOLOGY, 2024, 38 (01)
  • [32] Entanglement dynamics via periodic modulations in an optomechanical system with embedded double quantum dots
    Singh, Madhav Kumar
    Bhatt, Vijay
    Jha, Pradip K.
    Bhattacherjee, Aranya B.
    JOURNAL OF OPTICS, 2023, 25 (12)
  • [33] Transparent control of an exactly solvable two-level system via combined modulations
    Hai, Wenhua
    Hai, Kuo
    Chen, Qiong
    PHYSICAL REVIEW A, 2013, 87 (02):
  • [34] Deep Learning Based Speech Separation via NMF-Style Reconstructions
    Nie, Shuai
    Liang, Shan
    Liu, Wenju
    Zhang, Xueliang
    Tao, Jianhua
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2018, 26 (11) : 2043 - 2055
  • [35] Blind convolutive separation method for speech signals via joint block diagonalization
    ZHANG Hua~1 FENG Dazheng~1 PANG Jiyong~2 (1 National Lab.of Radar Signal Process
    ChineseJournalofAcoustics, 2010, 29 (01) : 45 - 55
  • [36] Blind convolutive separation algorithm for speech signals via joint block diagonalization
    Zhang, Hua
    Feng, Dazheng
    Pang, Jiyong
    Shengxue Xuebao/Acta Acustica, 2009, 34 (02): : 167 - 174
  • [37] MixCycle: Unsupervised Speech Separation via Cyclic Mixture Permutation Invariant Training
    Karamatli, Ertug
    Kirbiz, Serap
    IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 2637 - 2641
  • [38] Blind speech source separation via nonlinear time-frequency masking
    Xu, Shun
    Chen, Shaorong
    Liu, Yulin
    Shengxue Xuebao/Acta Acustica, 2007, 32 (04): : 375 - 381
  • [39] Blind speech source separation via nonlinear time-frequency masking
    XU Shun CHEN Shaorong LIU Yulin (DSP Lab.
    ChineseJournalofAcoustics, 2008, (03) : 203 - 214
  • [40] UAL employees book flights via speech system
    不详
    EXPERT SYSTEMS, 1998, 15 (02) : 124 - 124