Speaker Clustering Methods

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9382423 months ago

Choose and implement clustering algorithms for grouping speaker embeddings after VAD and embedding extraction. Compare Hierarchical clustering (auto-tunes speaker count), KMeans (fast, requires known count), and Agglomerative clustering (fixed clusters). Use Hierarchical clustering when speaker count is unknown, KMeans when count is known, and always normalize embeddings before clustering.

Quick Install

npxskills add benchflow-ai/skillsbench--skill "Speaker Clustering Methods"

Instructions

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