In this paper we evaluate the relevance of the model size for speaker identification. We show that it is possible to improve the identification rates if a different model size is used for each speaker. We also present some criteria for selecting the model size, and a new algorithm that outperforms the classical system with a fixed model size.
Cite as: Faundez-Zanuy, M. (2001) On the model size selection for speaker identification. Proc. The Speaker and Language Recognition Workshop (Odyssey 2001), 189-193
@inproceedings{faundezzanuy01_odyssey, author={Marcos Faundez-Zanuy}, title={{On the model size selection for speaker identification}}, year=2001, booktitle={Proc. The Speaker and Language Recognition Workshop (Odyssey 2001)}, pages={189--193} }