Referenced Items are not available for this document.
The Gaussian mixture model (GMM) is a currently used method for speaker recognition. The fuzzy GMM (FGMM) proposed in previous work (D. Tran et al., 1998) is a fuzzy clustering based modification of the GMM. Although both the FGMM and the GMM are capable of achieving high identification accuracy, they have a common disadvantage in the problem of sensitivity to outliers. The paper presents an improvement for the FGMM to handle this problem. Experimental results on 16 speakers using the TI46 database are also reported
Published in:
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Date of Conference: Dec 1999
- Page(s):
- 337 - 340
- Meeting Date :
- 31 Aug 1999-01 Sep 1999
- Print ISBN:
- 0-7803-5578-4
- INSPEC Accession Number:
- 6469068
- Conference Location :
- Adelaide, SA
- Digital Object Identifier :
- 10.1109/KES.1999.820192
- Product Type:
- Conference Publications
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