Home ›
Entities
› academia
› An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets
An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets
Research article (International Journal of Environmental Research and Public Health, 2018) · cited 10× · AI/ML
An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets
Summary
An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets is a scholarly article[1].
Key Facts
An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimization-study-on-listening-experiments-to-improve-the-comparability-of-annoyance-ratings-of-noise-samples-from-d
MLA“An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimization-study-on-listening-experiments-to-improve-the-comparability-of-annoyance-ratings-of-noise-samples-from-d.
BibTeX@misc{4ortxyz_an-optimization-study-on-listening-experiments-to-improve-the-comparability-of-annoyance-ratings-of-noise-samples-from-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimization-study-on-listening-experiments-to-improve-the-comparability-of-annoyance-ratings-of-noise-samples-from-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Optimization Study on Listening Experiments to Improve the Comparability of Annoyance Ratings of Noise Samples from Different Experimental Sample Sets — https://4ort.xyz/entity/an-optimization-study-on-listening-experiments-to-improve-the-comparability-of-annoyance-ratings-of-noise-samples-from-d (retrieved 2026-05-24)
