Performance of an automated, remote system to detect vocal fold paralysis

Annals of Otology, Rhinology and Laryngology

Volumn 117, Issue 11, 2008, Pages 834-838

  Wormald, Robert N ^a,c   Moran, Rosalyn J ^b   Reilly, Richard B ^b   Lacy, Peter D ^a  

^a BEAUMONT HOSPITAL   (Ireland)

^b UNIVERSITY COLLEGE DUBLIN   (Ireland)

^c NONE   (Ireland)

Author keywords

Phonation; Speech; Telemedicine; Voice

Indexed keywords

ARTICLE; AUDIOLOGY; AUTOMATION; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; LARYNGOSCOPY; MAJOR CLINICAL STUDY; MALE; PHONATION; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; SINGLE BLIND PROCEDURE; SPEECH ANALYSIS; STROBOSCOPY; TELEMEDICINE; VIDEOSTROBOSCOPY; VOCAL CORD PARALYSIS; VOICE;

EID: 56449097505     PISSN: 00034894     EISSN: None     Source Type: Journal    
DOI: 10.1177/000348940811701107     Document Type: Article

References (13)

1. World Health Organization. eHealth: Proposed Tools and Services. Policy Statement EB 117/15 2005. www.euro.who.int/telemed.
2. Becker W, Naumann HH, Pfaltz CR. Ear, nose and throat disorders. 2nd ed. New York, NY: Thieme Medical Publishers, 1994.
3. Maguire C, de Chazal P, Reilly RB, Lacy P. Automatic classification of voice pathology using speech analysis. In: Proceedings of the World Congress on Medical Physics and Biomedical Engineering, Sydney, Australia, August 2003.
4. Maguire C, de Chazal P, Reilly RB, Lacy P. Automatic classification of voice pathology using speech analysis. In: Proceedings of 3rd International Workshop on Models and Analysis of Vocal Emission for Biomedical Applications, Florence, Italy, December 2003:259-62.
5. Hadjitodorov S, Boyanov B, Teston B. Laryngeal pathology detection by means of class-specific neural maps. IEEE Trans Inf Technol Biomed 2000;4:68-73.
6. Godino-Llorente JI, Gómez-Vilda P. Automatic detection of voice impairments by means of short-term cepstral parameters and neural network based detectors. IEEE Trans Biomed Eng 2004;51:380-4.
7. W3C VoiceXML Forum, www.voicexml.org.
8. Moran RJ, Reilly RB, de Chazal P, Lacy PD. Telephony-based voice pathology assessment using automated speech analysis. IEEE Trans Biomed Eng 2006;53:468-77.
9. Campbell JP. Speaker identification: a tutorial. Proc IEEE 1997;85:1437-62.
10. Rosa MdeO, Pereira JC, Grellet M. Adaptive estimation of residue signal for voice pathology diagnosis. IEEE Trans Biomed Eng 2000;47:96-104.
11. Umapathy K, Krishnan S, Parsa V, Jamieson DG. Discrimination of pathological voices using a time-frequency approach. IEEE Trans Biomed Eng 2005;52:421-30.
12. Disordered Voice Database Model 4337. Massachusetts Eye and Ear Infirmary Voice and Speech Lab, Boston, Mass: Kay Elemetrics Corporation, 1994.
13. Reynolds DA, Zissman MA, Quatieri TF, O'Leary GC, Carrlson BA. The effects of telephone transmission degradations on speaker recognition performance. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing 1995;1:329-32.