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Volumn 83, Issue 1, 2000, Pages 90-98

Pitch extraction by using autocorrelation function on the log spectrum

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; CORRELATION METHODS; SPECTRUM ANALYSIS;

EID: 0033627218     PISSN: 10420967     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1520-6440(200001)83:1<90::AID-ECJC11>3.0.CO;2-9     Document Type: Article
Times cited : (9)

References (25)
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  • 3
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    • Fine pitch pattern extraction by fundamental wave filtering
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  • 4
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    • Seto, M.1    Suzuki, J.2    Shimamura, T.3
  • 5
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    • Pitch determination of noisy speech using higher-order statistics
    • San Francisco
    • Moreno A, Fonollosa JAR. Pitch determination of noisy speech using higher-order statistics. IEEE Int Conf Acoust Speech Signal Process, San Francisco, Vol. I, 1992, p 133-136.
    • (1992) IEEE Int Conf Acoust Speech Signal Process , vol.1 , pp. 133-136
    • Moreno, A.1    Fonollosa, J.A.R.2
  • 6
    • 0023362506 scopus 로고
    • A spectral autocorrelation method for measurement of the fundamental frequency of noise-corrupted speech
    • Lahat M, Niederjohn RJ, Krubsack DA. A spectral autocorrelation method for measurement of the fundamental frequency of noise-corrupted speech. IEEE Trans Acoust Speech Signal Process 1987; 35:741-750.
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  • 7
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    • Extraction of fundamental frequency of low SNR speech by the AR spectrum estimation
    • SP94-86
    • Kinchu R, Suzuki J, Shimamura T. Extraction of fundamental frequency of low SNR speech by the AR spectrum estimation. Tech Rep IEICE 1995;SP94-86.
    • (1995) Tech Rep IEICE
    • Kinchu, R.1    Suzuki, J.2    Shimamura, T.3
  • 9
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    • Hunada T, Suzuki T. Extraction of pitch of speech by a pair of band pass filter banks. J IEICE 1989;72-A:466-474.
    • (1989) J IEICE , vol.72 A , pp. 466-474
    • Hunada, T.1    Suzuki, T.2
  • 10
    • 0344593007 scopus 로고
    • Pitch estimation in noise environments by instantaneous frequency
    • SP95-79
    • Abe T, Kobayashi T, Imai S. Pitch estimation in noise environments by instantaneous frequency. Tech Rep IEICE 1995;SP95-79.
    • (1995) Tech Rep IEICE
    • Abe, T.1    Kobayashi, T.2    Imai, S.3
  • 13
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    • Cepstrum type fundamental frequency extraction using moving average and band limitation
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  • 14
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    • Noll, A.M.1
  • 15
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  • 19
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  • 20
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  • 21
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    • Noll AM. Pitch determination of human speech by the harmonic product spectrum, the harmonic sum spectrum, and a maximum likelihood estimate. Symp on Computer Processing in Communication, Vol. 19. University of Brooklyn Press; 1970. p 779-797.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.