A Robust SVM/GMM Classifier for Speaker Verification

Author:

Cirovic Zoran,Cirovic Natasa

Publisher

Springer International Publishing

Reference25 articles.

1. 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)

2. Ortega-Garcia, J., Gonzalez-Rodriguez, L.: Overview of speech enhancement techniques for automatic speaker recognition. In: Proc. 4th International Conference on Spoken Language Processing, Philadelphia, PA, pp. 929–932 (1996)

3. Suhadi, S., Stan, S., Fingscheidt, T., Beaugeant, C.: An evaluation of VTS and IMM for speaker verification in noise. In: Proceedings of the 9th European Conference on Speech Communication and Technology (EuroSpeech 2003), Geneva, Switzerland, pp. 1669–1672 (2003)

4. Gales, M.J.F., Young, S.: HMM recognition in noise using parallel model combination. In: Proceedings of the 9th European Conference on Speech Communication and Technology (EuroSpeech 1993), Berlin, Germany, pp. 837–840 (1993)

5. Matsui, T., Kanno, T., Furui, S.: Speaker recognition using HMM composition in noisy environments. Comput. Speech Lang. 10, 107–116 (1996)

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1. Singer Identification – Analysis with SVM and GMM Classifier;2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR);2022-03-10

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