DER vs. cpWER: why the standard diarization metric ranks systems backwards
Blog post from AssemblyAI
In evaluating systems that provide speaker-labeled transcripts, particularly for applications like meeting notes or sales coaching, the common metric Diarization Error Rate (DER) is argued to be less effective than cpWER for optimizing performance. The text highlights that DER can be misleading due to the complexities involved in its measurement and suggests that cpWER offers a more accurate reflection of system efficacy in identifying who said what in audio recordings. The discussion is supported by real-world audio examples, emphasizing the practical implications of choosing the appropriate metric.
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