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Computer-assisted Speaker Diarization: How to Evaluate Human Corrections
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Abstract
In this paper, we present a framework to evaluate the human correction of a speaker diarization. We propose four elementary actions to correct the diarization and an automaton to simulate the correction sequence. A metric is described to evaluate the correction cost. The framework is evaluated using French broadcast news drawn from the REPERE corpus.