A channel-blind system for speaker verification

The majority of speaker verification systems proposed in the NIST speaker recognition evaluation are conditioned on the type of data to be processed: telephone or microphone. In this paper, we propose a new speaker verification system that can be applied to both types of data. This system, named bli...

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Bibliographic Details
Main Authors: Dehak, Najim, Karam, Zahi N., Reynolds, Douglas A., Dehak, Reda, Campbell, William M., Glass, James R.
Format: Conference Proceeding
Language:English
Subjects:
Covariance matrix
Data visualization
Interviews
LDA
Microphones
NIST
PLDA
Speech
Total variability space
Training
WCCN
Online Access:Request full text
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Description
Summary:The majority of speaker verification systems proposed in the NIST speaker recognition evaluation are conditioned on the type of data to be processed: telephone or microphone. In this paper, we propose a new speaker verification system that can be applied to both types of data. This system, named blind system, is based on an extension of the total variability framework. Recognition results with the pro posed channel-independent system are comparable to state of the art systems that require conditioning on the channel type. Another ad vantage of our proposed system is that it allows for combining data from multiple channels in the same visualization in order to explore the effects of different microphones and collection environments.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2011.5947363