Unsupervised Validity Measures for Vocalization Clustering

Grant Title

Dr. Dolittle Project: A Framework for Classification and Understanding of Animal Vocalizations

Document Type

Conference Proceeding

Publication Date


Source Publication

IEEE International Conference on Acoustics, Speech and Signal Processing, 2008: ICASSP; Las Vegas, NV, March 31, 2008 - April 4, 2008

Source ISSN



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.

Document Rights and Citation of Original

Paper presented at the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2008, Las Vegas, NV, March 31, 2008 - April 4, 2008. DOI.