On the impact of non-speech sounds on speaker recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7499 LNAI, Issue , 2012, Pages 566-572

  Janicki, Artur ^a  

^a WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

GMM UBM; non speech sounds; speaker recognition; TIMIT

Indexed keywords

GMM-UBM; SPEAKER CLASSIFICATION; SPEAKER RECOGNITION; SPEECH CORPORA; TIMIT;

ARTIFICIAL INTELLIGENCE;

EXPERIMENTS;

EID: 84865460219     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-32790-2_69     Document Type: Conference Paper

References (14)

1. Ruinskiy, D., Lavner, Y.: An effective algorithm for automatic detection and exact demarcation of breath sounds in speech and song signals. IEEE Transactions on Audio, Speech, and Language Processing 15(3), 838-850 (2007)
2. Rajnoha, J.: Speaker non-speech event recognition with standard speech datasets. Acta Polytechnica 47(4-5/2007), 107-111 (2008)
3. Rapcan, V., D'Arcy, S., Reilly, R.B.: Automatic breath sound detection and removal for cognitive studies of speech and language. In: IET Irish Signals and Systems Conference (ISSC 2009), pp. 1-6 (2009)
4. Sa, R.C., Verbandt, Y.: Automated breath detection on long-duration signals using feedforward backpropagation artificial neural networks. IEEE Transactions on Biomedical Engineering 49(10), 1130-1141 (2002)
5. Liao, W.H., Lin, Y.K.: Classification of non-speech human sounds: Feature selection and snoring sound analysis. In: IEEE International Conference on Systems, Man and Cybernetics, SMC 2009, pp. 2695-2700 (2009)
6. Reynolds, D.A., Quatieri, T.F., Dunn, R.B.: Speaker verification using adapted gaussian mixture models. In: Digital Signal Processing (2000)
7. Campbell, W.M., Sturim, D.E., Reynolds, D.A.: Support vector machines using gmm supervectors for speaker verification. IEEE Signal Processing Letters 13, 308-311 (2006)
8. Janicki, A., Staroszczyk, T.: Speaker Recognition from Coded Speech Using Support Vector Machines. In: Habernal, I., Matoušek, V. (eds.) TSD 2011. LNCS (LNAI), vol. 6836, pp. 291-298. Springer, Heidelberg (2011)
9. Hautamäki, V., Tuononen, M., Niemi-Laitinen, T., Fränti, P.: Improving speaker verification by periodicity based voice activity detection. In: Proc. 12th International Conference on Speech and Computer, SPECOM 2007, pp. 645-650 (2007)
10. Garofolo, J., Lamel, L., Fisher, W., Fiscus, J., Pallett, D., Dahlgren, N., Zue, V.: Timit acoustic-phonetic continuous speech corpus. Linguistic Data Consortium, Philadelphia (1993)
11. Besacier, L., Grassi, S., Dufaux, A., Ansorge, M., Pellandini, F.: Gsm speech coding and speaker recognition. In: Proc. ICASSP, pp. 1085-1088 (2000)
12. Jiang, T., Gao, B., Han, J.: Speaker identification and verification from audio coded speech in matched and mismatched conditions. In: Proc. of the IEEE International Conference on Robotics and Biomimetics, ROBIO 2009, pp. 2199-2204 (2009)
13. Yu, E.W.M., Mak, M.-W., Kung, S.-Y.: Speaker Verification from Coded Telephone Speech Using Stochastic Feature Transformation and Handset Identification. In: Chen, Y.-C., Chang, L.-W., Hsu, C.-T. (eds.) PCM 2002. LNCS, vol. 2532, pp. 598-606. Springer, Heidelberg (2002)
14. Cappe, O.: h2m toolkit, http://www.tsi.enst.fr/~cappe/