Update README.md

README.md

@@ -191,8 +191,9 @@ Users should be aware of the ecological context and potential biases when using
 
 ## More Information
 
-This dataset incorporates synthetic background audio, which has been created by introducing noise and modifying the original audio intensities. This process, known as Data Augmentation, enhances the robustness of the dataset. Additionally, a subset of the ESC-50 dataset, which is a widely recognized benchmark for environmental sound classification, has also been included to enrich the diversity of the dataset.
-It can be excluded of the dataset as it is in separate folders into de audios, images and labels root folder (Data Augmentation folder and ESC50), also, annotations have to been removed from the CSVs in any case they will be used to process the dataset.
+This dataset incorporates synthetic background audio, which has been created by introducing noise and modifying the original audio intensities. This process, known as Data Augmentation, enhances the robustness of the dataset. Additionally, a subset of the ESC-50 dataset, which is a widely recognized benchmark for environmental sound classification, has also been included to enrich the diversity of the dataset. These additional datasets can be excluded as they are in separate folders within the root folders for audios, images, and labels (`Data Augmentation` and `ESC50`). Annotations for these datasets should be removed from the CSV files if they are not used in processing the dataset.
+
+The synthetic audio was created using a Python script that took the original background audio recordings and modified their intensities and shifted them. This method allowed for the introduction of noise and variations in the audio, simulating different recording conditions and enhancing the dataset's robustness.
 
 ## Dataset Card Authors and Affiliations