Better speaker clustering #430
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This switches from agglomerative clustering to spectral clustering. Of the "standard" clustering methods, it achieves the best speaker identification for my test data. Furthermore this should closely match what the original paper on speaker identification using the ECAPA-TDNN model uses [1]. I can get better clustering combining something like t-SNE with a "standard" clustering method, however as t-SNE and others do not preserve distances and therefore do not seem like a general solution. [1] Dawalatabad, Nauman, et al. "ECAPA-TDNN embeddings for speaker diarization."
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