Band Loudness Aggregation
Combine a dominant band loudness with the sum of other bands using an explicit coupling factor; this does not claim the complete Stevens Mark VI procedure.
Description
Loudness from several bands may be combined with an explicitly chosen coupling factor.
Loudness from several bands may be combined with an explicitly chosen coupling factor. The dominant band and sum of remaining bands must already be supplied in sones.1
The returned values include Aggregated loudness. The How section below explains the calculation, input rules and interpretation.
When to use Band Loudness Aggregation
Use Band Loudness Aggregation when you need to evaluate the supplied records under the calculation and evidence rules below. This is the stated simplified aggregation only, not a complete Stevens Mark VI loudness procedure, frequency weighting or band analysis.
Choose the measured quantities, units, weighting and measurement basis before entering values. For a reference, select the exact topic. For a catalog lookup, prepare complete source-backed records; for a screen, select an applicable caller limit.
How to use Band Loudness Aggregation and understand its results
- Choose the measured quantities, units, weighting and measurement basis before entering values. For a reference, select the exact topic. For a catalog lookup, prepare complete source-backed records; for a screen, select an applicable caller limit.
- Enter couplingFactor, dominantBandSones, otherBandsSumSones using the field table and calculation rules, then run the tool.
- Read aggregatedLoudnessSones. The explanation below defines the units, signs, ordering and any flags or placeholder values.
- If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
| Input field | Meaning | Value type; see rules below | Requirement |
|---|---|---|---|
| couplingFactor | Caller-supplied coupling factor | number; minimum: 0; maximum: 1 | Required |
| dominantBandSones | Dominant band loudness (sone) | number; minimum: 0 | Required |
| otherBandsSumSones | Other-band loudness sum (sone) | number; minimum: 0 | Required |
Enter finite nonnegative dominant and other-band summed loudness and finite coupling factor from zero through one. Return finite aggregated loudness in sones.
combinedSones=dominantSones+factor×otherBandsSumSones Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| aggregatedLoudnessSones | Aggregated loudness (sone) | number; minimum: 0 |
{
"input": {
"couplingFactor": 0.3,
"dominantBandSones": 10,
"otherBandsSumSones": 10
},
"output": {
"aggregatedLoudnessSones": 13
}
}Limitations and assumptions
This is the stated simplified aggregation only, not a complete Stevens Mark VI loudness procedure, frequency weighting or band analysis.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use Fluctuation Strength Reference: Fluctuation strength is generally strongest for slow amplitude modulation near 4 Hz under reference-like conditions. This reference explains the selected concept and the evidence needed to interpret it. For a complementary task, use Balanced Noise Criterion Reference: NCB was developed to rate broadband room noise while identifying spectra with excessive low- or high-frequency content. This reference explains the selected concept and the evidence needed to interpret it.
References
-
Band Loudness Aggregation — tool.io
Similar or alternative tools
- Fluctuation Strength Reference
Fluctuation strength is generally strongest for slow amplitude modulation near 4 Hz under reference-like conditions. This reference explains the selected concept and the evidence needed to interpret it.
- Balanced Noise Criterion Reference
NCB was developed to rate broadband room noise while identifying spectra with excessive low- or high-frequency content. This reference explains the selected concept and the evidence needed to interpret it.