On the Challenges of Detecting Rude Conversational Behaviour
Table 4: Results from performing binary classification to detect
['SVM kernel', 'Accuracy (%) Regular', 'Accuracy (%) Smoothed']
Next, we try detecting only raised tones (i.e., we are only interested in identifying one type of rudeness class). We posit that verbal insults and interruptions are perhaps more difficult to capture through MFCCs than raised tones, which are more likely to be perceptible to a classifier due to an increase in pitch and volume. The best model in this experiment is able to correctly classify 41.4% of raised tone instances ( Some models (i.e., Gaussian kernel with γ=1.0 and linear kernel) never believes the user is speaking with a raised tone, suggesting these models fail to learn accurate representations of MFCC acceleration features for this task.