Increase in the amount of digital audio media in recent years, demands for content based retrieval of multimedia. However India classical Music is untouched from this revolution. Hence, this paper presents a comparative study on content based identification and retrieval for Indian Classical Music. The paper focuses on comparative implementation of various features like mfcc, bark scale based f...

The modal split model is one of the steps of the classical four-step travel demand planning. Predictive, descriptive, and prescriptive modal split models are essential to make a balance between travel demand and supply. To calibrate these models, it is necessary to detect and employ influential independent variables that are related to characteristics of travel modes, individual and family attr...

We propose to use real-time EEG signal to classify happy and unhappy emotions elicited by pictures and classical music. We use PSD as a feature and SVM as a classifier. The average accuracies of subject-dependent model and subject-independent model are approximately 75.62% and 65.12%, respectively. Considering each pair of channels, temporal pair of channels (T7 and T8) gives a better result th...

Musical expertise entails meticulous stylistic specialisation and enculturation. Even so, research on musical training effects has focused on generalised comparisons between musicians and non-musicians, and cross-cultural work addressing specialised expertise has traded cultural specificity and sensitivity for other methodological limitations. This study aimed to experimentally dissociate the e...

This paper hypothesizes that listeners who have been exposed to pitch continuum traditions of music, in which microtonal variations are a common occurrence, will have greater sensitivity to pitch changes as compared to listeners who have not. To test this hypothesis, two perceptual experiments are designed and performed in order to study the validity of the trill and glissando thresholds, repor...