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.
@article{arxiv.2204.01294,
title = {On The Model Size Selection For Speaker Identification},
author = {Marcos Faundez-Zanuy},
journal= {arXiv preprint arXiv:2204.01294},
year = {2022}
}
Comments
5 pages, published in Speaker odyssey 2001, The speaker recognition workshop. 189-194 Crete (Greece)