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In North Indian Classical music, each raga has been traditionally associated with a performance time, which supposedly maximizes its aesthetic and emotional effects on the listener. The objective of this work was to investigate the…

Sound · Computer Science 2021-11-02 Ananya Giri

Semi Natural Algorithmic composition (SNCA) is the technique of using algorithms to create music note sequences in computer with the understanding that how to render them would be decided by the composer. In our approach we are proposing an…

Sound · Computer Science 2018-08-07 Devashish Gosain , Soubhik Chakraborty , Mohit Sajwan

What happens inside the performers brain when he is performing and composing a particular raga. Are there some specific regions in brain which are activated when an artist is creating or imaging a raga in his brain. Do the regions remain…

Neurons and Cognition · Quantitative Biology 2017-04-20 Archi Banerjee , Shankha Sanyal , Souparno Roy , Sourya Sengupta , Sayan Biswas , Sayan Nag , Ranjan Sengupta , Dipak Ghosh

In recent years, artificial neural networks (ANNs) have become a universal tool for tackling real-world problems. ANNs have also shown great success in music-related tasks including music summarization and classification, similarity…

Sound · Computer Science 2020-01-08 Stefan Lattner

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…

Sound · Computer Science 2022-12-13 Devayani Hebbar , Vandana Jagtap

Recent studies have demonstrated that the representations of artificial neural networks (ANNs) can exhibit notable similarities to cortical representations when subjected to identical auditory sensory inputs. In these studies, the ability…

Neurons and Cognition · Quantitative Biology 2024-12-23 Taketo Akama , Zhuohao Zhang , Pengcheng Li , Kotaro Hongo , Hiroaki Kitano , Shun Minamikawa , Natalia Polouliakh

Incorporating interdisciplinary perspectives is seen as an essential step towards enhancing artificial intelligence (AI) ethics. In this regard, the field of arts is perceived to play a key role in elucidating diverse historical and…

Computers and Society · Computer Science 2023-05-17 Ajay Divakaran , Aparna Sridhar , Ramya Srinivasan

A raga is a melodic structure with fixed notes and a set of rules characterizing a certain mood endorsed through performance. By a vadi swar is meant that note which plays the most significant role in expressing the raga. A samvadi swar…

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…

Artificial neural networks perform state-of-the-art in an ever-growing number of tasks, nowadays they are used to solve an incredibly large variety of tasks. However, typical training strategies do not take into account lawful, ethical and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-29 Enzo Tartaglione , Marco Grangetto

We develop a data-driven model, introducing recent advances in machine learning to reservoir simulation. We use a conventional reservoir modeling tool to generate training set and a special ensemble of artificial neural networks (ANNs) to…

Geophysics · Physics 2019-05-21 Oleg Sudakov , Dmitri Koroteev , Boris Belozerov , Evgeny Burnaev

In contrast to human vision, artificial neural networks (ANNs) remain relatively susceptible to adversarial attacks. To address this vulnerability, efforts have been made to transfer inductive bias from human brains to ANNs, often by…

Machine Learning · Computer Science 2024-12-16 Manshan Guo , Bhavin Choksi , Sari Sadiya , Alessandro T. Gifford , Martina G. Vilas , Radoslaw M. Cichy , Gemma Roig

The Artificial Neural Networks (ANNs) have been originally designed to function like a biological neural network, but does an ANN really work in the same way as a biological neural network? As we know, the human brain holds information in…

Neural and Evolutionary Computing · Computer Science 2019-01-08 Usman Ahmad , Hong Song , Awais Bilal , Shahid Mahmood , Asad Ullah , Uzair Saeed

Artificial Neural Networks (ANNs) are computational models inspired by the central nervous system (especially the brain) of animals and are used to estimate or generate unknown approximation functions relied on large amounts of inputs.…

Artificial Intelligence · Computer Science 2018-09-21 Huayu Li

The aim of this paper is to address the question: Can an artificial neural network (ANN) model be used as a possible characterization of the power of the human mind? We will discuss what might be the relationship between such a model and…

Neural and Evolutionary Computing · Computer Science 2016-11-23 Hector Zenil , Francisco Hernandez-Quiroz

This paper offers a new perspective on Artificial Neural Networks (ANNs) architecture. Traditional ANNs commonly use tree-like or DAG structures for simplicity, which can be preset or determined by Neural Architecture Search (NAS). Yet,…

Machine Learning · Computer Science 2025-06-05 Xinshun Liu , Yizhi Fang , Yichao Jiang

In North Indian Classical Music, raga forms the basic structure over which individual improvisations is performed by an artist based on his/her creativity. The Alap is the opening section of a typical Hindustani Music (HM) performance,…

Sound · Computer Science 2016-12-02 Shankha Sanyal , Archi Banerjee , Tarit Guhathakurata , Ranjan Sengupta , Dipak Ghosh

A vital aspect of Indian Classical Music (ICM) is Raga, which serves as a melodic framework for compositions and improvisations alike. Raga Recognition is an important music information retrieval task in ICM as it can aid numerous…

Sound · Computer Science 2024-02-16 Sathwik Tejaswi Madhusudhan , Girish Chowdhary

Our objective is to estimate the unknown compositional input from its output response through an unknown system after estimating the inverse of the original system with a training set. The proposed methods using artificial neural networks…

Machine Learning · Computer Science 2020-01-27 Se Un Park

This paper proposes a way to understand neural network artworks as juxtapositions of natural image cues. It is hypothesized that images with unusual combinations of realistic visual cues are interesting, and, neural models trained to model…

Artificial Intelligence · Computer Science 2019-03-19 Aaron Hertzmann
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