140 search results - page 2 / 28 » Speaker Clustering Based on Bayesian Information Criterion |
TASLP
2008
13 years 5 months ago
2008
Many current state-of-the-art speaker diarization systems exploit agglomerative hierarchical clustering (AHC) as their speaker clustering strategy, due to its simple processing str...
ICTAI
2008
IEEE
13 years 11 months ago
2008
IEEE
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
CLEAR
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this paper, we present the ICSI speaker diarization system. This system was used in the 2007 National Institute of Standards and Technology (NIST) Rich Transcription e...
ACIVS
2008
Springer
13 years 11 months ago
2008
Springer
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
This paper addresses the problem of unsupervised speaker change detection. Three systems based on the Bayesian Information Criterion (BIC) are tested. The first system investigat...