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» Speaker Clustering Based on Bayesian Information Criterion
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ASWEC
2006
IEEE
14 years 1 months ago
An Empirically-Based Criterion for Determining the Success of an Open-Source Project
In order to determine a success criterion for open-source software projects, we analyzed 122,205 projects in the SourceForge database. There were 80,597 projects with no downloads...
Dror G. Feitelson, Gillian Z. Heller, Stephen R. S...
ECSQARU
2009
Springer
14 years 3 days ago
Inference from Multinomial Data Based on a MLE-Dominance Criterion
We consider the problem of inference from multinomial data with chances θ, subject to the a-priori information that the true parameter vector θ belongs to a known convex polytope...
Alessio Benavoli, Cassio P. de Campos
CLEAR
2007
Springer
175views Biometrics» more  CLEAR 2007»
14 years 1 months ago
The IBM RT07 Evaluation Systems for Speaker Diarization on Lecture Meetings
We present the IBM systems for the Rich Transcription 2007 (RT07) speaker diarization evaluation task on lecture meeting data. We first overview our baseline system that was devel...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
ICASSP
2011
IEEE
12 years 11 months ago
Using clustering comparison measures for speaker recognition
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...
Jia Min Karen Kua, Julien Epps, Mohaddeseh Nosrati...
KDD
2003
ACM
191views Data Mining» more  KDD 2003»
14 years 8 months ago
Assessment and pruning of hierarchical model based clustering
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle