wq2012/SimpleDER
A lightweight library to compute Diarization Error Rate (DER).
This tool helps researchers and engineers evaluate the performance of their speaker diarization systems. You provide a 'ground truth' reference of who spoke when, along with the results from your system. It then calculates a single Diarization Error Rate (DER) score, indicating how accurately your system identified speakers and their speaking times. This is for anyone developing or comparing speaker diarization algorithms.
Available on PyPI.
Use this if you need a quick, reliable way to get an overall Diarization Error Rate (DER) score for your speaker diarization experiments, especially if you're working with overlapped speech.
Not ideal if you need a detailed breakdown of different error types like false alarms, misses, or confusion errors; in that case, look for tools that offer more granular metrics.
Stars
62
Forks
9
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 14, 2026
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/wq2012/SimpleDER"
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