Pathological voice classification based on a single Vowel's acoustic features

CIT 2007: 7th IEEE International Conference on Computer and Information Technology

Volumn , Issue , 2007, Pages 1106-1110

  Peng, Ce ^a   Chen, Wenxi ^b   Zhu, Xin ^b   Wan, Baikun ^a   Wei, Darning ^b  

^a TIANJIN UNIVERSITY   (China)

^b UNIVERSITY OF AIZU   (Japan)

Author keywords

MEEI; Pathological voice; RBF; SVM

Indexed keywords

ACOUSTICS; DATA REDUCTION; PATHOLOGY;

ACOUSTIC FEATURES; FEATURE SPACE TRANSFORMATION; PATHOLOGICAL VOICE;

SPEECH ANALYSIS;

EID: 38049013726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIT.2007.4385233     Document Type: Conference Paper

References (11)

1. I.R. Titze, "Workshop on acoustic voice analysis-summary statement", In Proc Workshop on Acoustic Voice Analysis, Denver, Colorado, February, 1994.
2. R.J. Moran, R.B. Reilly, "Telephony-Based Voice Pathology Assessment Using Automated Speech Analysis", IEEE Trans on Biomedical Eng, 2006, 53(3):pp. 468-477.
3. A.A. Dibazar, S. Narayanan, and T.W. Berger, "Feature analysis for automatic detection of pathological speech", in Proc IEEE Joint EMBS/BMES Conf, Houston, TX, Oct. 2002, pp. 182-184.
4. J.I. Godino-Llorente, P. Gomez-Vilda, M. Blanco-Velasco, "Dimensionality Reduction of a Pathological Voice Quality Assessment System Based on Gaussian Mixture Models and Short-Term Cepstral Parameters", IEEE Trans Biomed Eng, 2006, 5(10):pp. 1943-1953.
5. A. Ben-Hur, D. Horn and H.T. Siegelmann et al, "A support vector clustering method", Pattern Recognition 15th International Conference, 2000, 1(2): pp. 724-727.
6. K. Pelckmans, J.A.K. Sukens, and T. Van, et al, LSSVM lab Toolbox User's Guide [EB/OL], 2003, http://www.esat.Meuven.ac.be/sista/lssvmlab/
7. C.W. Hsu, C.C. Chang and C.J. Lin, A practical Guide to support vector machines. [EB/OL], 2001, http://www.csie.ntu.edu.tw/~cjlin/libsvm
8. J.A.K. Suykens, L. Lukas and P. Dooren, et al, "Least squares support vector machines classifiers: A large scale algorithm", In Proceedings of the European Conference on Cir2cuit Theory and Design, Stresa, Italy, 1999, pp. 839-842.
9. J.A.K. Suykens, J. Vandewalle, "Least squares support vector machine classifiers", Neural Processing Letters, 1999, 9(3):pp. 293-300
10. S.S. Keerthi, C.J. Lin, "Asymptotic behaviors of support vector machines with Gassian kernel", Neural Computation, 2003, 15(7):pp. 1667-1689.
11. H.T. Lin, C.J. Lin, "A study on sigmoid kernels for SVM and the training of non-PSD Kernels by SMO-type methods" [EB/OL], 2004, http://www.csie.ntu.edu.tw/cjlin.