The file "prepare_analyze_data.py" shows some frequently executed statistical analyses on data collected in speech quality assessment studies. The file "csnoisy.results50.csv" represents the speech quality ratings collected from the crowdsourcing listeners, whereas "Lab.sav" are the quality ratings from the listeners in the Laboratory that executed the listening test in an optimal environment. This data correspond to the "Group 1" of the study described in [1].
[1] R. Zequeira Jiménez, B. Naderi, and S. Möller, "Effect of Environmental Noise in Speech Quality Assessment Studies using Crowdsourcing," in 2020 Twelfth International Conference on Quality of Multimedia Experience (QoMEX), 2020, pp. 1–6. [DOI: https://doi.org/10.1109/QoMEX48832.2020.9123144]