LISQM A List of Open-Source Implementations of Psychoacoustic and Sound Quality Metrics

Version 0.5.10 · data as of 28 October 2026
Source on GitHub

Projects Legacy projects

MoSQITo-FDP

Legacy project. Archived by its authors; its last commit was in July 2021. Kept here for reference. Its code may follow an older edition and may not run with current software.

Archived Python snapshot of a MoSQITo fork made for a final-degree project. It adds the Sottek Hearing Model with specific and total loudness (ECMA-418-2, 1st edition) as a step towards hearing-model tonality, and contains tone-to-noise ratio and prominence ratio after ECMA-74 Annex D.

Repositoryhttps://github.com/djcaminero/MoSQITo-FDP
LanguagePython
KindResearch code
Code published with a study, a thesis or a student project, to run or adapt; not packaged as a library.
Grouplegacy Archived, or no commit for three years or more. Kept for reference. The code may follow an older edition and may not run with current software.
LicenceApache-2.0
Latest releaseno release
Last commit2021-07-05 archived
GitHub stars2
MaintainersDaniel Jiménez-Caminero Costa
AI assistancenot stated
How to citeThe project does not say how to cite it. Cite the repository with the version or commit you used.
Entry checked8 October 2026

What it implements

MetricEditionFunctionsValidation (as stated)Notes
Sottek Hearing Model loudnessECMA-418-2:2020 (1st ed.)
hearing model with specific and total loudness
comp_loudnessstandard or paper datalegacy Module mosqito.functions.hearing_model. Its author committed the same hearing model to MoSQITo on 2021-05-30, two weeks before this snapshot.
Tone-to-noise ratio and prominence ratioECMA-74:2019 (17th ed.)
Annex D
comp_tnr, comp_prown tests onlylegacy

How it was validated

As reported by the project; LISQM has not run the code. Two implementations that agree can still share the same error. Kinds of evidence.

Sottek Hearing Model loudness · ECMA-418-2:2020 (1st ed.)

standard or paper data

Ported or adapted from MoSQITo (the author's own code).

  • Validation scripts compare the ear filter and model output with figures and values from ECMA-418-2 and ECMA-74 Annex F.
Tone-to-noise ratio and prominence ratio · ECMA-74:2019 (17th ed.)

own tests only

Ported or adapted from MoSQITo.

  • The README lists TNR/PR as available but not validated; the tests use synthetic tones in white noise.

Notes

Before you rely on it

Sources

  1. https://github.com/djcaminero/MoSQITo-FDP
  2. https://github.com/djcaminero/MoSQITo-FDP/blob/master/readme.md
  3. https://github.com/djcaminero/MoSQITo-FDP/tree/master/mosqito/functions/hearing_model
  4. https://github.com/djcaminero/MoSQITo-FDP/tree/master/mosqito/validations/hearing_model
  5. https://github.com/Eomys/MoSQITo/commit/04dab16b64041c820c08177aa74039fb3fc3ed20

Metrics, standards and papers, projects, function names and pages.