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» Using clustering comparison measures for speaker recognition
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CSL
2006
Springer
13 years 5 months ago
Using quality measures for multilevel speaker recognition
The use of quality information for multilevel speaker recognition systems is addressed in this contribution. From a definition of what constitutes a quality measure, two applicati...
Daniel Garcia-Romero, Julian Fiérrez-Aguila...
ICASSP
2010
IEEE
13 years 4 months ago
A comparison of approaches for modeling prosodic features in speaker recognition
Prosodic information has been successfully used for speaker recognition for more than a decade. The best-performing prosodic system to date has been one based on features extracte...
Luciana Ferrer, Nicolas Scheffer, Elizabeth Shribe...
ICASSP
2010
IEEE
13 years 5 months ago
Aspect-model-based reference speaker weighting
We propose an aspect-model-based reference speaker weighting. The main idea of the approach is that the adapted model is a linear combination of a set of reference speakers like r...
Seongjun Hahm, Yuichi Ohkawa, Masashi Ito, Motoyuk...
ICASSP
2011
IEEE
12 years 9 months ago
Closed-form expressions vs. BIC: A comparison for speaker clustering
In this paper, the use of closed-form expressions is compared to the BIC approximation, with respect to speaker clustering. We first show that the particular BIC setting which is...
Themos Stafylakis, Xavier Anguera Miró, Vas...
TASLP
2008
120views more  TASLP 2008»
13 years 5 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose