| 1. Upload target noise: | |||
Upload wav/mp3
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Level: | Opacity: | |
2. Upload masking sound: |
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Upload wav/mp3 |
Level: | Opacity: | |
3. Analyse and calculate masking score: |
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Average Bark Spectrum |
Average Spectrum |
Masking Scores
| Component | Score | Description |
|---|---|---|
| Masking Effectiveness (Bark) | - | How well the masker's energy covers the weighted bark bands (lower frequencies have more impact then higher frequencies) |
| Temporal Correlation (Sp.Flux) | - | How well the masker's loudness changes match the target's loudness changes (CMR, Comodulation Masking Release). |
| Timbral Similarity (MFCC) | - | How similar masker and target noise are in texture (based on MFCCs). |
| Pitch Similarity (Chroma) | - | How similar masker and target noise are in pitch (dominant chroma should be the same, a musical fifth is also OK). |
| Timbral Blending Score | - | A combined score of how well the masker and target blend based on temporal, timbral, and pitch similarity. |
| Masking Goodness Score | - | Estimation how well the masker will mask the target noise |
Analysis Data
| Metric | Target Noise | Masker | Difference |
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