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KMID : 0917520010080040059
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Journal of Speech Sciences
2001 Volume.8 No. 4 p.59 ~ p.72
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A Speaker Change Detection Experiment that Uses a Statistical Method
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Abstract
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In this paper, we experimented with speaker change detection that uses a statistical method for NOD (News On Demand) service. A specified speaker´s change can find out content of each data in speech if analysed because it means change of data contents in news data. Speaker change detection acts as preprocessor t hat divide input speech by speaker. This is an important preprocessor phase for speaker tracking. We detected speaker change using GLR(generalized likelihood ratio) distance base division and BIC (Bayesian information criterion) base division among matrix method. An experiment verified speaker change point using BIC base division after divide by speaker unit using GLR distance base method first. In the experimental result, FAR (False Alarm Rate) was 63.29 in high noise environment and FAR was 54.28 in low noise environment in MDR (Missed Detection Rate) 15% neighborhood.
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KEYWORD
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