Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/2136
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dc.contributor.authorNosratighods, M.
dc.contributor.authorThiruvaran, T.J.
dc.contributor.authorEpps, J.
dc.contributor.authorAmbikairajah, E.
dc.contributor.authorMa, B.
dc.contributor.authorLi, H.
dc.date.accessioned2021-03-26T02:39:36Z
dc.date.accessioned2022-06-27T10:01:59Z-
dc.date.available2021-03-26T02:39:36Z
dc.date.available2022-06-27T10:01:59Z-
dc.date.issued2009
dc.identifier.citationNosratighods, 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.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/2136-
dc.description.abstractIn 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.isoenen_US
dc.publisherIEEEen_US
dc.subjectSpeaker Recognitionen_US
dc.subjectFrequency Modulationen_US
dc.titleEvaluation of a Fused FM and Cepstral-Based Speaker Recognition System on the NIST 2008 SREen_US
dc.typeArticleen_US
Appears in Collections:Electrical & Electronic Engineering

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