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Volumn , Issue , 2015, Pages

Characterizing glottal activity from speech using Empirical Mode Decomposition

Author keywords

EMD; GAD; GIMF; Glottal activity; IMF; pitch

Indexed keywords

FUNCTIONS; SPEECH ANALYSIS; SPEECH COMMUNICATION; SPEECH PROCESSING;

EID: 84929094000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NCC.2015.7084821     Document Type: Conference Paper
Times cited : (13)

References (18)
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  • 4
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    • Schlotthauer, G.1    Torres, M.E.2    Rufiner, H.L.3
  • 8
    • 80052078099 scopus 로고    scopus 로고
    • Ensemble empirical mode decomposition: A noise-assisted data analysis method
    • Z. Wu and N. E. Huang, "Ensemble empirical mode decomposition: a noise-assisted data analysis method," Advances in adaptive data analysis, vol. 1, no. 01, pp. 1-41, 2009.
    • (2009) Advances in Adaptive Data Analysis , vol.1 , Issue.1 , pp. 1-41
    • Wu, Z.1    Huang, N.E.2
  • 9
    • 79956369785 scopus 로고    scopus 로고
    • Complementary ensemble empirical mode decomposition: A novel noise enhanced data analysis method
    • J.-R. Yeh, J.-S. Shieh, and N. E. Huang, "Complementary ensemble empirical mode decomposition: A novel noise enhanced data analysis method," Advances in Adaptive Data Analysis, vol. 2, no. 02, pp. 135-156, 2010.
    • (2010) Advances in Adaptive Data Analysis , vol.2 , Issue.2 , pp. 135-156
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    • Voiced/nonvoiced detection based on robustness of voiced epochs
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  • 17
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    • Determine the pitch markers in speech signal using ensemble empirical mode decomposition
    • P. Galhotra and M. K. Patil, "Determine the pitch markers in speech signal using ensemble empirical mode decomposition," IJARCSSE, vol. 2, no. 7, 2012.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.