Frequency study for the characterization of the dysphonic voices

International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007

Volumn 3, Issue , 2007, Pages 1789-1792

  Pouchoulin, G ^a   Fredouille, C ^a   Bonastre, J E ^a   Ghio, A ^b   Giovanni, A ^c  

^a LIA   (France)

^b AIX MARSEILLE UNIVERSITÉ   (France)

^c LAPEC   (France)

Author keywords

Automatic speaker recognition; Dysphonia characterization; Pathological voice and speech

Indexed keywords

AUTOMATIC INDEXING; KETONES; SPEECH; SPEECH RECOGNITION;

AUTOMATIC CLASSIFICATION SYSTEMS; AUTOMATIC SPEAKER RECOGNITION; CLASSIFICATION SYSTEMS; DIFFERENT FREQUENCIES; DYSPHONIA CHARACTERIZATION; FREQUENCY DOMAINS; HIGHER FREQUENCIES; LOW FREQUENCIES; PATHOLOGICAL VOICE AND SPEECH; PATHOLOGICAL VOICES;

SPEECH COMMUNICATION;

EID: 56149106676     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Besacier, L., et al. 2000. Localization and selection of speaker specific information with statistical modelling. Speech Communication, Vol. 31, 89-106.
2. Bimbot, F., et al. 2004. A tutorial on text-independent speaker verification. EURASIP Journal on Applied Signal Processing, Vol. 39, 430-451.
3. Bonastre, J.-F., et al. 2005. ALIZE, a free toolkit for speaker recognition. ICASSP-05, Philadelphia, USA.
4. Fredouille, C., et al. 2005. Application of Automatic Speaker Recognition techniques to pathological voice assessment (dysphonia). Proc. of Eurospeech'05.
5. Godino-Llorente J.I., et al. 2006. Dimensionality reduction of a pathological voice quality assessment system based on Gaussian mixture models and short-term cepstral parameters. EEE Trans. on Biomedical Engineering, Vol53(3), pp.1943-1953.
6. Hirano, M. 1981. Psycho-acoustic evaluation of voice : GRBAS Scale for evaluating the hoarse voice. Clinical Examination of voice, Springer Verlag
7. Honda, K., et al. 2004. Resonance Characteristics of Hypopharyngeal Cavities. International Conference on Voice Physiology and Biomechanics, Marseille, France.
8. Maguire, C., et al. 2003. Identification of voice pathology using automated speech analysis. Third International Workshop on Models and Analysis of Vocal Emission for Biomedical Applications, Florence, Italy.
9. McCowan, I. A., Sridharan, S. 2001. Multi-Channel Sub-Band Speech Recognition. EURASIP Journal on Applied Signal Processing, Vol. 1, 45-52.
10. Kacha, A., Grenez, F., Schoentgen, J., Benmahammed, K. 2005. Dysphonic speech analysis using generalized vasogram. In Proc. ICSLP'05, Vol. 1, 917-920.
11. Pouchoulin, G., et al. 2006. Modélisation Statistique et Informations Pertinentes pour la Caractérisation des Voix Pathologiques (Dysphonies). JEP'06, Dinard, France.
12. Pouchoulin, G., et al. 2007. Characterization of pathological voices (dysphonia) in the frequency space. ICPHS'07, August 2007, Saarbrücken.
13. Revis, J. 2004. L'analyse perceptive des dysphonies : approche phonétique de l'évaluation vocale. Phd thesis, Univ. de la Méditerranée.
14. Saenz-Lechon, N., et al. 2006. Methodological issues in the development of automatic systems for voice pathology detection. Journal of Biomedical Signal Processing and Control, Elsevier.
15. Wester, M. 1998. Automatic classification of voice quality: Comparing regression models and hidden Markov models. VOICEDATA98, December, 92-97, Utrecht.
16. Wuyts, F. L., et al. 2000. The dysphonia severity index: an objective measure of vocal quality based on a multiparameter approach. Journal of Speech, Language, and Hearing Research 43, 796-809.