Now we are making the expressive music by replicating the human played MIDI. To decide whether a music is emotional remains to be a subjective, qualitative task. Is there a way to turn it into an objective, quantitative task, so that the evaluating process could be automatic and implementable with some codes? Can we define some basic components of emotions, and develop more complex emotions based on them? Can we get some clues from the emotion related neural signals?
Say 0.5happy + 0.5thrilled = excited
Frank, D. W., et al. "Emotion regulation: quantitative meta-analysis of functional activation and deactivation." Neuroscience & Biobehavioral Reviews 45 (2014): 202-211.https://sci-hub.wf/10.1016/j.neubiorev.2014.06.010
Parke, Rob, Elaine Chew, and Chris Kyriakakis. "Quantitative and visual analysis of the impact of music on perceived emotion of film." Computers in Entertainment (CIE) 5.3 (2007): 5.https://sci-hub.wf/10.1145/1316511.1316516
Now we are making the expressive music by replicating the human played MIDI. To decide whether a music is emotional remains to be a subjective, qualitative task. Is there a way to turn it into an objective, quantitative task, so that the evaluating process could be automatic and implementable with some codes? Can we define some basic components of emotions, and develop more complex emotions based on them? Can we get some clues from the emotion related neural signals?
Say 0.5happy + 0.5thrilled = excited
Frank, D. W., et al. "Emotion regulation: quantitative meta-analysis of functional activation and deactivation." Neuroscience & Biobehavioral Reviews 45 (2014): 202-211. https://sci-hub.wf/10.1016/j.neubiorev.2014.06.010
Parke, Rob, Elaine Chew, and Chris Kyriakakis. "Quantitative and visual analysis of the impact of music on perceived emotion of film." Computers in Entertainment (CIE) 5.3 (2007): 5. https://sci-hub.wf/10.1145/1316511.1316516