SInES Tools: Masking Score Estimator (Score for masking and timbral blending of a masker vs. a target sound)

1. Upload target noise:
Level: 0 dB Opacity: 0.70

2. Upload masking sound:
Level: 0 dB Opacity: 0.70

3. Analyse and calculate masking score:

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


Masking Score Estimator © 2025 by Christoph Reuter and SInES (last modified: 24.6.2026) is released under MIT License
Translation of the Chinese version of the website: Li Hao
How to cite: Reuter, C. (2025). SInES Tools: Masking Score Estimator. Web Application https://sinestools.univie.ac.at/maskingestimator.htm