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Volumn 5, Issue 6, 2013, Pages 2245-2254

A novel GMM-based feature reduction for vocal fold pathology diagnosis

Author keywords

Gaussian mixture model (GMM); Mel frequency cepstral coefficient (MFCC); Principal component analysis (PCA); Proposed GMM based feature reduction; Vocal fold pathology diagnosis; Wavelet packet decomposition

Indexed keywords


EID: 84874743743     PISSN: 20407459     EISSN: 20407467     Source Type: Journal    
DOI: 10.19026/rjaset.5.4779     Document Type: Article
Times cited : (8)

References (26)
  • 1
    • 80053429588 scopus 로고    scopus 로고
    • Analysis of pathological voices by speech processing
    • Adnene, C. and B. Lamia, 2003. Analysis of pathological voices by speech processing. Signal Proc. Appl., 1(1): 365-367.
    • (2003) Signal Proc. Appl. , vol.1 , Issue.1 , pp. 365-367
    • Adnene, C.1    Lamia, B.2
  • 2
    • 0035555882 scopus 로고    scopus 로고
    • Automatic detection of pathologies in the voice by HOS based parameters
    • Alonso, J.B., J.D. Leon, I. Alonso and M.A. Ferrer, 2001. Automatic detection of pathologies in the voice by HOS based parameters. EURASIP. J. Appl. Signal Proc., 2001(4): 275-284.
    • (2001) EURASIP. J. Appl. Signal Proc. , Issue.4 , pp. 275-284
    • Alonso, J.B.1    Leon, J.D.2    Alonso, I.3    Ferrer, M.A.4
  • 3
    • 83655193655 scopus 로고    scopus 로고
    • An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine
    • Arjmandi, M.K. and M. Pooyan, 2012. An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine. Biomed. Signal Process., 7(1): 3-19.
    • (2012) Biomed. Signal Process. , vol.7 , Issue.1 , pp. 3-19
    • Arjmandi, M.K.1    Pooyan, M.2
  • 5
    • 0030355086 scopus 로고    scopus 로고
    • Vocal fold pathology assessment using AM autocorrelation analysis of the teager energy operator: ICSLP-1996
    • Philadelphia, PA
    • Ceballos, L.G., J. Hansen and J. Kaiser, 1996. Vocal fold pathology assessment using AM autocorrelation analysis of the teager energy operator: ICSLP-1996. Proceeding of 4th International Conference on ICSLP, Philadelphia, PA, pp: 757-760.
    • (1996) Proceeding of 4th International Conference on ICSLP , pp. 757-760
    • Ceballos, L.G.1    Hansen, J.2    Kaiser, J.3
  • 6
    • 0032030556 scopus 로고    scopus 로고
    • A Non- Linear based speech feature analysis method with application to vocal fold pathology assessment
    • Ceballos, L.G., J. Hansen and J. Kaiser, 2005. A Non- Linear based speech feature analysis method with application to vocal fold pathology assessment. IEEE T. Biomed. Eng., 45(3): 300-313.
    • (2005) IEEE T. Biomed. Eng. , vol.45 , Issue.3 , pp. 300-313
    • Ceballos, L.G.1    Hansen, J.2    Kaiser, J.3
  • 9
    • 33846473189 scopus 로고    scopus 로고
    • Wavelet time frequency analysis and least squares support vector machines for identification of voice disorders
    • Fonseca, E., R.C. Guido, J.C. Pereira, P.R. Scalassarsa, C.D. Maciel and J.C. Pereira, 2007. Wavelet time frequency analysis and least squares support vector machines for identification of voice disorders. Comput. Biol. Med., 37(4): 571-578.
    • (2007) Comput. Biol. Med. , vol.37 , Issue.4 , pp. 571-578
    • Fonseca, E.1    Guido, R.C.2    Pereira, J.C.3    Scalassarsa, P.R.4    Maciel, C.D.5    Pereira, J.C.6
  • 12
    • 68849113925 scopus 로고    scopus 로고
    • Optimal feature selection for the assessment of vocal fold disorders
    • Herisa, H.K., B.S. Aghazadeh and M.N. Bahrami, 2009. Optimal feature selection for the assessment of vocal fold disorders. Comput. Biol. Med., 39(10): 860-868.
    • (2009) Comput. Biol. Med. , vol.39 , Issue.10 , pp. 860-868
    • Herisa, H.K.1    Aghazadeh, B.S.2    Bahrami, M.N.3
  • 14
    • 84863729061 scopus 로고    scopus 로고
    • Vocal fold pathology detection using modified wavelet-like features and support vector machines
    • 15th European Signal Processing Conference (EUSIPCO), Pozan, Poland
    • Kukharchik, P., D. Martynov, I. Kheidorov and O. Kotov, 2007. Vocal fold pathology detection using modified wavelet-like features and support vector machines. 15th European Signal Processing Conference (EUSIPCO), Pozan, Poland, pp: 2214-2218.
    • (2007) , pp. 2214-2218
    • Kukharchik, P.1    Martynov, D.2    Kheidorov, I.3    Kotov, O.4
  • 15
    • 1542439119 scopus 로고    scopus 로고
    • A comparative study on content based music genre classification
    • ACM SIGIR Conference on Research and Development in Information Retrieval, Toronto, ON, Canada
    • Li, T., M. Oginara and Q. Li, 2003. A comparative study on content based music genre classification. Proceeding of the 26th Annual Int. ACM SIGIR Conference on Research and Development in Information Retrieval, Toronto, ON, Canada, pp: 282-289.
    • (2003) Proceeding of the 26th Annual Int , pp. 282-289
    • Li, T.1    Oginara, M.2    Li, Q.3
  • 16
    • 9144269627 scopus 로고    scopus 로고
    • Automatic detection of voice impairments by means of shortterm cepstral parameters and neural network based detectors
    • Llorente, J.I.G. and P.G. Vilda, 2004. Automatic detection of voice impairments by means of shortterm cepstral parameters and neural network based detectors. IEEE T. Biomed. Eng., 51(2): 380-384.
    • (2004) IEEE T. Biomed. Eng. , vol.51 , Issue.2 , pp. 380-384
    • Llorente, J.I.G.1    Vilda, P.G.2
  • 17
    • 33749525148 scopus 로고    scopus 로고
    • Dimensionality reduction of a pathological voice quality assessment system based on Gaussian mixture models and short-term cepstral parameters
    • Llorente, J.I.G., P.G. Vilda and M.B. Velasco, 2006. Dimensionality reduction of a pathological voice quality assessment system based on Gaussian mixture models and short-term cepstral parameters. IEEE T. Biomed. Eng., 53(10): 1943-1953.
    • (2006) IEEE T. Biomed. Eng. , vol.53 , Issue.10 , pp. 1943-1953
    • Llorente, J.I.G.1    Vilda, P.G.2    Velasco, M.B.3
  • 18
    • 0024700097 scopus 로고
    • A Theory for multi-resolution signal decomposition: The wavelet representation
    • Mallat, S.G, 1989. A Theory for multi-resolution signal decomposition: The wavelet representation. IEEE T. Pattern Anal., 11(7): 674-693.
    • (1989) IEEE T. Pattern Anal. , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 19
    • 0034332006 scopus 로고    scopus 로고
    • Adaptive noise energy estimation in pathological speech signals
    • Manfredi, C., 2000. Adaptive noise energy estimation in pathological speech signals. IEEE T. Biomed. Eng., 47(11): 1538-1543.
    • (2000) IEEE T. Biomed. Eng. , vol.47 , Issue.11 , pp. 1538-1543
    • Manfredi, C.1
  • 21
    • 2642647093 scopus 로고    scopus 로고
    • Selection and combination of acoustic features for the description of pathologic voices
    • Michaelis, D., M. Frohlich and H.W. Strube, 1998. Selection and combination of acoustic features for the description of pathologic voices. J. Acoust. Soc. Am., 103(3): 1628-1639.
    • (1998) J. Acoust. Soc. Am. , vol.103 , Issue.3 , pp. 1628-1639
    • Michaelis, D.1    Frohlich, M.2    Strube, H.W.3
  • 22
    • 0036753078 scopus 로고    scopus 로고
    • Pathological voice quality assessment using artificial neural networks
    • Ritchings, R.T., M.A. McGillion and C.J. Moore, 2002. Pathological voice quality assessment using artificial neural networks. Med. Eng. Physic., 4(8): 561-564.
    • (2002) Med. Eng. Physic. , vol.4 , Issue.8 , pp. 561-564
    • Ritchings, R.T.1    Mcgillion, M.A.2    Moore, C.J.3
  • 23
    • 0033982157 scopus 로고    scopus 로고
    • Adaptive estimation of residue signal for voice pathology diagnosis
    • Rosa, M.D.O., J.C. Pereira and M. Grellet, 2000. Adaptive estimation of residue signal for voice pathology diagnosis. IEEE T. Biomed. Eng., 47(1): 96-104.
    • (2000) IEEE T. Biomed. Eng. , vol.47 , Issue.1 , pp. 96-104
    • Rosa, M.D.O.1    Pereira, J.C.2    Grellet, M.3
  • 24
    • 0036648502 scopus 로고    scopus 로고
    • Musical genre classification of audio signals
    • Tzanetakis, G. and P. Cook, 2002. Musical genre classification of audio signals. IEEE T. Speech Audio Proc., 10(5): 293-302.
    • (2002) IEEE T. Speech Audio Proc. , vol.10 , Issue.5 , pp. 293-302
    • Tzanetakis, G.1    Cook, P.2
  • 25
    • 27744462291 scopus 로고    scopus 로고
    • Feature analysis of pathological speech signals using local discriminant bases technique
    • Umapathy, K. and S. Krishnan, 2005. Feature analysis of pathological speech signals using local discriminant bases technique. Med. Biol. Eng. Comput., 43(4): 457-464.
    • (2005) Med. Biol. Eng. Comput. , vol.43 , Issue.4 , pp. 457-464
    • Umapathy, K.1    Krishnan, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.