MEG dataset of continuous speech with five-level noise vocoding

In this study, we addressed the temporal dynamics of neural speech tracking and their relation to speech intelligibility with six levels of degraded/vocoded speech.

Overview
Brief overview of the tasks in the experiment
Using magnetoencephalography (MEG), we recorded brain activity while participants were presented with speeches. Participants were required to choose the last noun they heard.

Description of the contents of the dataset
This dataset includes MEG data collected during audiobook listening tasks.

Independent variables
levels of speech degradation
Dependent variables
MEG signals

Control variables
All participants reported normal-hearing and no history of psychological or neurological disease.

Quality assessment of the data
Quality of neural data is good. I advise use of ICA (or similar) for preprocessing.