153 related articles for article (PubMed ID: 18002822)
1. SVM-based identification of pathological voices.
Chen W; Peng C; Zhu X; Wan B; Wei D
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3786-9. PubMed ID: 18002822
[TBL] [Abstract][Full Text] [Related]
2. Pathological voice assessment.
Dibazar AA; Berger TW; Narayanan SS
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1669-73. PubMed ID: 17946059
[TBL] [Abstract][Full Text] [Related]
3. Nonlinear analysis and classification of vocal disorders.
Aghazadeh BS; Khadivi H; Nikkhah-Bahrami M
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():6200-3. PubMed ID: 18003437
[TBL] [Abstract][Full Text] [Related]
4. Using modulation spectra for voice pathology detection and classification.
Markaki M; Stylianou Y
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2514-7. PubMed ID: 19964970
[TBL] [Abstract][Full Text] [Related]
5. Vocal folds disorder detection using pattern recognition methods.
Wang J; Jo C
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3253-6. PubMed ID: 18002689
[TBL] [Abstract][Full Text] [Related]
6. Discrimination of pathological voices using a time-frequency approach.
Umapathy K; Krishnan S; Parsa V; Jamieson DG
IEEE Trans Biomed Eng; 2005 Mar; 52(3):421-30. PubMed ID: 15759572
[TBL] [Abstract][Full Text] [Related]
7. Automatic assessment of voice quality according to the GRBAS scale.
Sáenz-Lechón N; Godino-Llorente JI; Osma-Ruiz V; Blanco-Velasco M; Cruz-Roldán F
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2478-81. PubMed ID: 17946516
[TBL] [Abstract][Full Text] [Related]
8. A new approach to discriminative HMM training for pathological voice classification.
Sarria-Paja M; Castellanos-Dominguez G; Delgado-Trejos E
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():4674-7. PubMed ID: 21096005
[TBL] [Abstract][Full Text] [Related]
9. Fuzzy logic based classification and assessment of pathological voice signals.
Aghazadeh BS; Heris HK
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():328-31. PubMed ID: 19964477
[TBL] [Abstract][Full Text] [Related]
10. Discrimination between pathological and normal voices using GMM-SVM approach.
Wang X; Zhang J; Yan Y
J Voice; 2011 Jan; 25(1):38-43. PubMed ID: 20137892
[TBL] [Abstract][Full Text] [Related]
11. Complex networks: application to pathology detection in voice signals.
Hurtado-Jaramillo JS; Guarín DL; Orozco Á
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4229-32. PubMed ID: 23366861
[TBL] [Abstract][Full Text] [Related]
12. Dimensionality reduction of a pathological voice quality assessment system based on Gaussian mixture models and short-term cepstral parameters.
Godino-Llorente JI; Gómez-Vilda P; Blanco-Velasco M
IEEE Trans Biomed Eng; 2006 Oct; 53(10):1943-53. PubMed ID: 17019858
[TBL] [Abstract][Full Text] [Related]
13. Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.
Cordeiro H; Fonseca J; Guimarães I; Meneses C
J Voice; 2017 May; 31(3):384.e9-384.e14. PubMed ID: 27743845
[TBL] [Abstract][Full Text] [Related]
14. Acoustic analysis and detection of hypernasality using a group delay function.
Vijayalakshmi P; Reddy MR; O'Shaughnessy D
IEEE Trans Biomed Eng; 2007 Apr; 54(4):621-9. PubMed ID: 17405369
[TBL] [Abstract][Full Text] [Related]
15. Robustness of auditory Teager Energy Cepstrum Coefficients for classification of pathological and normal voices in noisy environments.
Salhi L; Cherif A
ScientificWorldJournal; 2013; 2013():435729. PubMed ID: 23818821
[TBL] [Abstract][Full Text] [Related]
16. Automated speech analysis applied to laryngeal disease categorization.
Gelzinis A; Verikas A; Bacauskiene M
Comput Methods Programs Biomed; 2008 Jul; 91(1):36-47. PubMed ID: 18346812
[TBL] [Abstract][Full Text] [Related]
17. Speech sound classification and detection of articulation disorders with support vector machines and wavelets.
Georgoulas G; Georgopoulos VC; Stylios CD
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():2199-202. PubMed ID: 17946095
[TBL] [Abstract][Full Text] [Related]
18. Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors.
Godino-Llorente JI; Gómez-Vilda P
IEEE Trans Biomed Eng; 2004 Feb; 51(2):380-4. PubMed ID: 14765711
[TBL] [Abstract][Full Text] [Related]
19. Telephony-based voice pathology assessment using automated speech analysis.
Moran RJ; Reilly RB; de Chazal P; Lacy PD
IEEE Trans Biomed Eng; 2006 Mar; 53(3):468-77. PubMed ID: 16532773
[TBL] [Abstract][Full Text] [Related]
20. Reference-free automatic quality assessment of tracheoesophageal speech.
Huang A; Falk TH; Chan WY; Parsa V; Doyle P
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6210-3. PubMed ID: 19964897
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]