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 [BibTeX] [Marc21]
Robust Speaker Change Detection
Type of publication: Journal paper
Citation: ajmera-rr02-39b
Journal: IEEE Signal Processing Letters (to appear)
Year: 2003
Note: IDIAP-RR 02-39
Crossref: ajmera-rr02-39:
Abstract: Most commonly used criteria for speaker change detection like log likelihood ratio (LLR) and Bayesian information criterion (BIC) have an adjustathreshold/penalty parameter to make speaker change decisions. These parameters robust to different acoustic conditions and have to be tuned. In this letter, we present a criterion which can be used to identify speaker changes in an audio stream without such tuning. The criterion consists of calculating the LLR of two models with the same number of parameters. Results on the Hub4 1997 evaluation set indicate that we achieve a performance comparable to using BIC with optimal penalty term.
Userfields: ipdmembership={speech},
Projects Idiap
Authors Ajmera, Jitendra
McCowan, Iain A.
Bourlard, Hervé
Added by: [UNK]
Total mark: 0
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