Metrics for Polyphonic Sound Event Detection
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Abstract
This paper presents and discusses various metrics proposed for evaluation of polyphonic sound event detection systems used in realistic situations where there are typically multiple sound sources active simultaneously. The system output in this case contains overlapping events, marked as multiple sounds detected as being active at the same time. The polyphonic system output requires a suitable procedure for evaluation against a reference. Metrics from neighboring fields such as speech recognition and speaker diarization can be used, but they need to be partially redefined to deal with the overlapping events. We present a review of the most common metrics in the field and the way they are adapted and…
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Authors
3Topics & keywords
Topics
Keywords
- Polyphony
- Computer science
- Event (particle physics)
- Speech recognition
- Toolbox
- Metric (unit)
- Class (philosophy)
- Artificial intelligence
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