Automatic detection of laryngeal pathologies using cepstral analysis in Mel and Bark scales
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J. D. Arias-Londoño | J. F. Vargas-Bonilla | T. Villa-Canas | E. Belalcazar-Bolamos | S. Bedoya-Jaramillo | J. F. Garces | J. R. Orozco-Arroyave | J. D. Arias-Londono | J. Vargas-Bonilla | J. Orozco-Arroyave | J. F. Garcés | T. Villa-Cañas | E. Belalcazar-Bolamos | S. Bedoya-Jaramillo
[1] Josef Kittler,et al. Floating search methods in feature selection , 1994, Pattern Recognit. Lett..
[2] D. Jamieson,et al. Identification of pathological voices using glottal noise measures. , 2000, Journal of speech, language, and hearing research : JSLHR.
[3] Jean-François Bonastre,et al. Frequency study for the characterization of the dysphonic voices , 2007, INTERSPEECH.
[4] B Boyanov,et al. Acoustic analysis of pathological voices. A voice analysis system for the screening of laryngeal diseases. , 1997, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[5] D. Jamieson,et al. Acoustic discrimination of pathological voice: sustained vowels versus continuous speech. , 2001, Journal of speech, language, and hearing research : JSLHR.
[6] Stefan Hadjitodorov,et al. A computer system for acoustic analysis of pathological voices and laryngeal diseases screening. , 2002, Medical engineering & physics.
[7] William Brent. Perceptually Based Pitch Scales in Cepstral Techniques for Percussive Timbre Identification , 2009, ICMC.
[8] Jesús Francisco Vargas-Bonilla,et al. Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection , 2011, INTERSPEECH.
[9] R. Fraile,et al. Automatic Detection of Laryngeal Pathologies in Records of Sustained Vowels by Means of Mel-Frequency Cepstral Coefficient Parameters and Differentiation of Patients by Sex , 2009, Folia Phoniatrica et Logopaedica.
[10] Stefan Hadjitodorov,et al. ACOUSTIC ANALYSIS OF PATHOLOGICAL VOICES , 1997 .
[11] Mario Cannataro,et al. Early detection of voice diseases via a web-based system , 2007, MAVEBA.
[12] Pedro Gómez Vilda,et al. Methodological issues in the development of automatic systems for voice pathology detection , 2006, Biomed. Signal Process. Control..