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(s):
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
Batch Analysis Results
target sound masking sound Masking Effectiveness (Bark) Temporal Correlation (Sp.Flux) Timbral Similarity (MFCC) Pitch Similarity (Chroma) Timbral Blending Score Masking Goodness Score


Masking Score Estimator © 2025 by Christoph Reuter and SInES (last modified: 5.8.2026) 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