A Method of Automatic Speaker Recognition Using Cepstral Features and Vectorial Quantization

Author:

de Lara José Ramón Calvo

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Do, M.N.: An Automatic Speaker Recognition System. In: Audio Visual Communications Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland (2001), http://lcavwww.epfl.ch/~minhdo/asr_project/asr_project.doc

2. Reynolds, D.A.: An Overview of Automatic Speaker Recognition Technology, MIT Lincoln Laboratory, Lexington, MA, USA, This paper appears in ICASSP 2002, pp. 4072–4075 (2002)

3. Kinnunen, T.: Spectral Features for Automatic Text-Independent Speaker Recognition, University of Joensuu, Department of Computer Science, Joensuu, Finland, December 21 (2003), ftp://cs.joensuu.fi/pub/PhLic/2004_PhLic_Kinnunen_Tomi.pdf

4. Campbell Jr., J.P.: Speaker Recognition: A tutorial. DoD. Proceedings of the IEEE 85(9), 1437–1462 (1997)

5. Mason, J., Zhang, X.: Velocity and acceleration features in speaker recognition, Department of Electrical & Electronic Engineering, Univ. Coll., Swansea. This paper appears in ICASSP 1991, pp. 3673–3676 (1991)

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