Effects of audio compression in automatic detection of voice pathologies

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 12, 2008, Pages 2831-2835

  Sáenz Lechón, Nicolás ^a   Osma Ruiz, Víctor ^a   Godino Llorente, Juan I ^a   Blanco Velasco, Manuel ^b   Cruz Roldán, Fernando ^b   Arias Londoño, Julián D ^c  

^a UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

^b UNIVERSITY OF ALCALÁ   (Spain)

^c UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

Gaussian mixture models; MP3 compression; Support vector machines; Voice pathology detection

Indexed keywords

AUDIO COMPRESSIONS; AUTOMATIC DETECTIONS; AUTOMATIC SYSTEMS; BAND COMMUNICATIONS; CEPSTRAL; GAUSSIAN MIXTURE MODELS; GAUSSIAN MIXTURES; MP3 COMPRESSION; NOISE MEASUREMENTS; RECEIVER OPERATING CHARACTERISTICS; STORAGE SPACES; VOICE PATHOLOGY DETECTION; VOICE RECORDINGS; VOICE SIGNALS;

COMMUNICATION CHANNELS (INFORMATION THEORY); DETECTORS; IMAGE RETRIEVAL; MIXTURES; OBJECT RECOGNITION; PATHOLOGY; TELEMEDICINE; TRELLIS CODES; VECTORS;

SUPPORT VECTOR MACHINES;

ARTIFACTS; ARTIFICIAL INTELLIGENCE; DATA COMPRESSION; FOURIER ANALYSIS; HUMANS; MULTIMEDIA; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SOUND SPECTROGRAPHY; SPEECH ACOUSTICS; VOICE; VOICE DISORDERS; VOICE QUALITY;

EID: 58149267840     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.923769     Document Type: Article

References (21)

1. L. Gavidia-Ceballos and J. H. L. Hansen, "Direct speech feature estimation using an iterative EM algorithm for vocal fold pathology detection," IEEE Trans. Biomed. Eng., vol. 43, no. 4, pp. 373-383, Apr. 1996.
2. V. Parsa and D. G. Jamieson, "Identification of pathological voices using glottal noise measures," J. Speech Lang. Hear. Res., vol. 43, no. 2, pp. 469-485, 2000.
3. S. Hadjitodorov and P. Mitev, "A computer system for acoustic analysis of pathological voices and laryngeal disease screening," Med. Eng. Phys., vol. 24, no. 6, pp. 419-429, 2002.
4. J. I. Godino-Llorente, P. Gómez-Vilda, and 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., vol. 53, no. 10, pp. 1943-1953, Oct. 2006.
5. P. H. Dejonckere, P. Bradley, P. Clemente, G. Cornut, L. Crevier-Buchman, G. Friedrich, P. H. Van de Heyning, M. Remacle, and V. Woisard, "A basic protocol for functional assessment of voice pathology, especially for investigating the efficacy of (phonosurgical) treatments and evaluating new assessment techniques," Eur. Arch. Oto-Rhino-Laryngol., vol. 258, no. 2, pp. 77-82, 2001.
6. P. Sirum and I. Sanches, "The influence of audio compression on speech recognition systems," in Proc. SPECOM'04, St. Petersburg, Russia, pp. 128-131.
7. ISO-MPEG Audio Layer-3. Information technology - Coding of moving pictures and associated audio for digital storage media up to 1.5 Mbit/s. Part 3: Audio, ISO/IEC Standard 11172-3, 1993.
8. R. J. Moran, R. B. Reilly, P. deChazal, and P. D. Lacy, "Telephony-based voice pathology assessment using automated speech analysis," IEEE Trans. Biomed. Eng., vol. 53, no. 3, pp. 468-477, Mar. 2006.
9. J. González, T. Cervera, and M. J. Llau, "Acoustic analysis of pathological voices compressed with MPEG system," J. Voice, vol. 17, no. 2, pp. 126-139, 2003.
10. Massachusetts Eye and Ear Infirmary, Voice Disorders Database, Version 1.03, [CD-ROM]. Lincoln Park, NJ: Kay Elemetrics Corp., 1994.
11. N. Sáenz-Lechón, J. I. Godino-Llorente, V. J. Osma-Ruiz, and P. Gómez-Vilda, "Methodological issues in the development of automatic systems for voice pathology detection," Biomed. Signal Process. Control, vol. 1, no. 2, pp. 120-128, 2006.
12. Lame MP3 Encoder. (2007). The Lame Project [Online]. Available: http://lame.sourceforge.net
13. J. R. Deller, J. G. Proakis, and J. H. L. Hansen, Discrete-Time Processing of Speech Signals. New York: Macmillan, 1993.
14. G. de Krom, "A cepstrum-based technique for determining a harmonics-to-noise ratio in speech signals," J. Speech Hear. Res., vol. 36, no. 2, pp. 254-266, 1993.
15. H. Kasuya, S. Ogawa, K. Mashima, and S. Ebihara, "Normalized noise energy as an acoustic measure to evaluate pathologic voice," J. Acoust. Soc. Amer., vol. 80, no. 5, pp. 1329-1334, 1986.
16. D. Michaelis, T. Gramss, and H. W. Strube, "Glottal-to-noise excitation ratio - A new measure for describing pathological voices," Acustica/Acta Acustica, vol. 83, pp. 700-706, 1997.
17. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York: Wiley, 2000.
18. D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted Gaussian mixture models," Digit. Signal Process., vol. 10, pp. 19-41, 2000.
19. J. Kittler, M. Hatef, R. P. W. Duin, and J. Matas, "On combining classifiers," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 3, pp. 226-239, Mar. 1998.
20. A. F. Martin, G. R. Doddington, T. Kamm, M. Ordowski, and M. A. Przybocki, "The DET curve in assessment of detection task performance," in Proc. Eurospeech 1997, Rhodes, crete, vol. 4, pp. 1895-1898.
21. J. A. Hanley and B. J. McNeil, "The meaning and use of the area under a receiver operating characteristic (ROC) curve," Radiology, vol. 143, pp. 29-36, 1982.