Text Independent Speaker Recognition Model Based on Gamma Distribution Using Delta, Shifted Delta Cepstrals

Author:

Suri Babu K.,Yarramalle Srinivas,Penumatsa Suresh Varma

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Kos, M., Vlaj, D., Kacic, Z.: Speaker’s gender classification and segmentation using spectral and cepstral feature averaging. In: 18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011 (2011)

2. Razik, J., Sénac, C., Fohr, D., Mella, O., Parlangeau-Valles, N.: Comparision of two speech/Music segmentation systems for audio indexing on Web. In: Proc. of WMSCI 2003, Florida, USA (July 2003)

3. Corneliu Octavian, D., Gavat, I.: Feature Extraction Modeling &Training Strategies in continuous speech Recognition For Roman Language. In: EU Proceedings of IEEE Xplore, EUROCN 2005, pp. 1424–1428 (2005)

4. Agarwal, S., et al.: Prosodic Feature Based Text-Dependent Speaker Recognition Using machine Learning Algorithm. International Journal of Engg. Sc. &Technology 2(10), 5150–5157 (2010)

5. Gonzalez, D.R., Calvo de Lara, J.R.: Speaker verification with shifted delta cepstral features: Its Pseudo-Prosodic Behaviour. In: Proc. I Iberian SLTech. (2009)

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