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In this paper, we propose three divide-and-conquer approaches for Bayesian information criterion (BlC)-based speaker segmentation. The approaches detect speaker changes by recursively partitioning a large analysis window into two sub-windows and recursively verifying the merging of two adjacent audio segments using DeltaBIC, a widely-adopted distance measure of two audio segments. We compare our approaches...
Audio segmentation has received increasing attention in recent years for its potential applications in automatic indexing and transcription of audio data. Among existing audio segmentation approaches, the BIC-based approach proposed by Chen and Gopalakrishnan is most well-known for its high accuracy. However, this window-growing-based segmentation approach suffers from the high computation cost. In...
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