# Can Musical Emotion Be Quantified With Neural Jitter Or Shimmer? A Novel EEG Based Study With Hindustani Classical Music

arXiv: https://arxiv.org/abs/1705.03543 · HTML: https://mlsanity.com/paper/1705.03543/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Apr 2017.

## Built on by (most cited first, 3 of 3)

- [Neural Network architectures to classify emotions in Indian Classical Music](https://mlsanity.com/paper/2102.00616/) (2021)
- [Language Independent Emotion Quantification using Non linear Modelling of Speech](https://mlsanity.com/paper/2102.06003/) (2021)
- [A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction](https://mlsanity.com/paper/2102.06038/) (2021)

## Abstract (arXiv)

The term jitter and shimmer has long been used in the domain of speech and acoustic signal analysis as a parameter for speaker identification and other prosodic features. In this study, we look forward to use the same parameters in neural domain to identify and categorize emotional cues in different musical clips. For this, we chose two ragas of Hindustani music which are conventionally known to portray contrast emotions and EEG study was conducted on 5 participants who were made to listen to 3 min clip of these two ragas with sufficient resting period in between. The neural jitter and shimmer components were evaluated for each experimental condition. The results reveal interesting information regarding domain specific arousal of human brain in response to musical stimuli and also regarding trait characteristics of an individual. This novel study can have far reaching conclusions when it comes to modeling of emotional appraisal. The results and implications are discussed in detail.