Evaluation of a Fused FM and Cepstral-Based Speaker Recognition System on the NIST 2008 SRE

Nosratighods, M.; Thiruvaran, T.J.; Epps, J.; Ambikairajah, E.; Ma, B.; Li, H.

dc.contributor.author	Nosratighods, M.
dc.contributor.author	Thiruvaran, T.J.
dc.contributor.author	Epps, J.
dc.contributor.author	Ambikairajah, E.
dc.contributor.author	Ma, B.
dc.contributor.author	Li, H.
dc.date.accessioned	2021-03-26T02:39:36Z
dc.date.accessioned	2022-06-27T10:01:59Z
dc.date.available	2021-03-26T02:39:36Z
dc.date.available	2022-06-27T10:01:59Z
dc.date.issued	2009
dc.identifier.citation	Nosratighods, M., Thiruvaran, T., Epps, J., Ambikairajah, E., Ma, B., & Li, H. (2009, April). Evaluation of a fused FM and cepstral-based speaker recognition system on the NIST 2008 SRE. In 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 4233-4236). IEEE.	en_US
dc.identifier.uri	http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/2136
dc.description.abstract	In this paper, the fusion of two speaker recognition subsystems, one based on Frequency Modulation (FM) and another on MFCC features, is reported. The motivation for their fusion was to improve the recognition accuracy across different types of channel variations, since the two features are believed to contain complementary information. It was found that the MFCC-based subsystem outperformed the FM-based subsystem on telephone conversations from NIST SRE-06 dataset, while the opposite was true for NIST SRE-08 telephone data. As a result, the FMbased subsystem performed as well as the MFCC-based subsystem and their fusion gave up to 23% relative improvement in terms of EER over the MFCC subsystem alone, when evaluated on the NIST 2008 core condition.	en_US
dc.language.iso	en	en_US
dc.publisher	IEEE	en_US
dc.subject	Speaker Recognition	en_US
dc.subject	Frequency Modulation	en_US
dc.title	Evaluation of a Fused FM and Cepstral-Based Speaker Recognition System on the NIST 2008 SRE	en_US
dc.type	Article	en_US