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Phone adaptive training (PAT) aims to derive a new acoustic feature space in which the influence of phone variation is minimised while that of speaker variation is maximised. Originally proposed in the context of speaker diarization, our most recent work showed the utility of PAT in short-duration, automatic speaker verification where phone variation typically degrades performance. New to this contribution...
This paper presents a theoretical framework to analyze the relative merits of the two most general, dominant approaches to speaker diarization involving bottom-up and top-down hierarchical clustering. We present an original qualitative comparison which argues how the two approaches are likely to exhibit different behavior in speaker inventory optimization and model training: bottom-up approaches will...
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