TY - GEN
T1 - A Spearman correlation coefficient ranking for matching-score fusion on speaker recognition
AU - Liu, Di
AU - Cho, Siu Yeung
AU - Sun, Dong Mei
AU - Qiu, Zheng Ding
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - This paper describes an attempt by making use of the Spearman rank correlation coefficient as a metric to measure features on the matching score fusion of speaker recognition. In the context of fusion technique of speaker recognition, the Spearman coefficient is introduced to measure the correlation between different acoustic features combining together such that the metric is able to find out an optimal solution for selecting a set of feasible features to achieve good performance. This coefficient can evaluate how far the relationship between the combined features in term of scores combined by two features. Throughout the evaluations for the scores combined by obtaining by different combination of acoustic features, we found that MFCC and residual phase are the optimal solution for feature selection. The outcomes indicate that the Spearman correlation coefficient is a reliable metric to measure features in the fusion of speaker recognition.
AB - This paper describes an attempt by making use of the Spearman rank correlation coefficient as a metric to measure features on the matching score fusion of speaker recognition. In the context of fusion technique of speaker recognition, the Spearman coefficient is introduced to measure the correlation between different acoustic features combining together such that the metric is able to find out an optimal solution for selecting a set of feasible features to achieve good performance. This coefficient can evaluate how far the relationship between the combined features in term of scores combined by two features. Throughout the evaluations for the scores combined by obtaining by different combination of acoustic features, we found that MFCC and residual phase are the optimal solution for feature selection. The outcomes indicate that the Spearman correlation coefficient is a reliable metric to measure features in the fusion of speaker recognition.
KW - Matching-score level fusion
KW - Speaker recognition
KW - Spearman rank correlation coefficient
UR - http://www.scopus.com/inward/record.url?scp=79951612038&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2010.5686608
DO - 10.1109/TENCON.2010.5686608
M3 - Conference contribution
AN - SCOPUS:79951612038
SN - 9781424468904
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 736
EP - 741
BT - TENCON 2010 - 2010 IEEE Region 10 Conference
T2 - 2010 IEEE Region 10 Conference, TENCON 2010
Y2 - 21 November 2010 through 24 November 2010
ER -