TY - GEN
T1 - Unsupervised validity measures for vocalization clustering
AU - Adi, Kuntoro
AU - Sonstrom, Kristine E.
AU - Scheifele, Peter M.
AU - Johnson, Michael T.
PY - 2008
Y1 - 2008
N2 - This paper describes unsupervised speech/speaker cluster validity measures based on a dissimilarity metric, for the purpose of estimating the number of clusters in a speech data set as well as assessing the consistency of the clustering procedure. The number of clusters is estimated by minimizing the cross-data dissimilarity values, while algorithm consistency is evaluated by calculating the dissimilarity values across multiple experimental runs. The method is demonstrated on the task of Beluga whale vocalization clustering.
AB - This paper describes unsupervised speech/speaker cluster validity measures based on a dissimilarity metric, for the purpose of estimating the number of clusters in a speech data set as well as assessing the consistency of the clustering procedure. The number of clusters is estimated by minimizing the cross-data dissimilarity values, while algorithm consistency is evaluated by calculating the dissimilarity values across multiple experimental runs. The method is demonstrated on the task of Beluga whale vocalization clustering.
KW - Dissimilarity value
KW - Speech/speaker clustering
KW - Unsupervised validity
KW - Validation of classifiers
UR - https://www.scopus.com/pages/publications/51449086051
UR - https://www.scopus.com/pages/publications/51449086051#tab=citedBy
U2 - 10.1109/ICASSP.2008.4518625
DO - 10.1109/ICASSP.2008.4518625
M3 - Conference contribution
AN - SCOPUS:51449086051
SN - 1424414849
SN - 9781424414840
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 4377
EP - 4380
BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Y2 - 31 March 2008 through 4 April 2008
ER -