Analysis of North Indian Classical Ragas Using Tonnetz

Bi-Sampling Approach to Classify Music Mood leveraging Raga-Rasa Association in Indian Classical Music

The impact of Music on the mood or emotion of the listener is a well-researched area in human psychology and behavioral science. In Indian classical music, ragas are the melodic structure that defines the various styles and forms of the music. Each raga has been found to evoke a specific emotion in the listener. With the advent of advanced capabilities of audio signal processing and the application of machine learning, the demand for intelligent music classifiers and recommenders has received increased attention, especially in the 'Music as a service' cloud applications. This paper explores a …

On an Ethical Use of Neural Networks: A Case Study on a North Indian Raga

The paper gives an artificial neural network (ANN) approach to time series modeling, the data being instance versus notes (characterized by pitch) depicting the structure of a North Indian raga, namely, Bageshree. Respecting the sentiments of the artists' community, the paper argues why it is more ethical to model a structure than try and "manufacture" an artist by training the neural network to copy performances of artists. Indian Classical Music centers on the ragas, where emotion and devotion are both important and neither can be substituted by such "calculated artistry" which the ANN gener…

A Comparison of Audio Preprocessing Techniques and Deep Learning Algorithms for Raga Recognition

Ragas form the foundation for Indian Classical Music. The task of Raga Recognition has gained traction in the Music Information Retrieval community in the recent past, which can be attributed to the nuances of Indian Classical Music that have resulted in a plethora of research problems in Computing. In this work, we used two different digital audio signal processing techniques to preprocess audio samples of Carnatic classical ragas that were then processed by various Deep Learning models. Their results were compared in order to infer which DASP technique is better suited to the task of raga re…

ShrutiSense：印度古典音乐中的微分音建模与校正

ShrutiSense: Microtonal Modeling and Correction in Indian Classical Music

ShrutiSense提出针对印度古典音乐22斯鲁蒂微分音系统的符号处理框架，通过FST校正与GC-SHMM补全，在五个拉格上实现91.3%的校正准确率，并保持对噪声的稳健性。

DeepSRGM -- 使用深度学习进行印度古典音乐的序列分类与排序

DeepSRGM -- Sequence Classification and Ranking in Indian Classical Music with Deep Learning

本文提出基于LSTM-RNN的深度学习方法DeepSRGM，通过预处理和短序列训练实现印度古典音乐的Raga识别，在CompMusic Carnatic数据集上达到88.1%和97%的准确率，并支持旋律模式检索。

The Sounds of Music : Science of Musical Scales III -- Indian Classical

In the previous articles of this series, we have discussed the development of musical scales particularly that of the heptatonic scale which forms the basis of Western classical music today. In this last article, we take a look at the basic structure of scales used in Indian classical music and how different `raga's are generated through the simple process of scale shifting.