Results 101 to 110 of about 648,389 (139)

A Deep Learning Based Approach for Janya Raga Classification in Carnatic Music

2022 6th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), 2022
Janya Ragas are Carnatic music ragas derived from the fundamental ragas called Melakarta Raga, by the permutation and combination of various ascending and descending swaras.
P. Kavitha, J. Charles, L. S. Lekamge, Melakarta raga Janya, Karaharapriya Abheri, Andolika Bageshri Brindavanamsaranga Darbar Devamohari Huse Abhogi, Asaveri Bhoopalam Dhanyasi Thodi Punagavarali Natabhairavi Ahiri, Ananda-Bhairavi, Darbari Bhairavi, Jayanthasri Saramati Shankarabharanam Kanada Hindolam, Atana Bageda Bilahari Devagandhari Janaranjani Sudda Arabhi, Saveri, Hamsadwani, Kedaram Harikambhoji, Desh Dwijavanthi Kambhoji Kedaragowla Mohanam Sahana Ya Badhudari, Kamboji, Kunthalavarali, Nattai Nageswari, Navarasa Kurinji, Surutti Thilang Mayamalavagowla Kannada, Gowlai Jaganmohini Gurjari Saveri lalitha Malahari Revaga Bowli, Kalyani Hamirkalyani, Saranga, Sunadavinodini Yamuna, Mohanakalyani Kalyani   +24 more
semanticscholar   +1 more source

Shared Processes in Spatial Rotation and Musical Permutation

Brain and Cognition, 2001
An experiment was conducted in which subjects performed a three-dimensional spatial rotation test (24 trials) and a new test involving judgments of musical permutations (64 trials). Two types of musical permutations were used, including retrograde and inverse. In a retrograde permutation, the criterion melody was played backward in the test melody, and
Gerald C. Cupchik, Krista Phillips, David S. Hill   +2 more
openaire   +3 more sources

Noting the Difference: Musical Scales and Permutations

The American Mathematical Monthly, 2006
A. (1937) 355–357. 9. S. Kakutani, On Nakano’s talk, Zenokuku Sugaku Danwakai Osaka 192 (1940) 42–44 (Japanese). 10. N. Nakano, On a theorem in Hilbert space, Zenokuku Sugaku Danwakai Osaka 192 (1940) 39–42 (Japanese). 11. , Spectral Theory in the Hilbert Space, Japan Society for the Promotion of Science, Tokyo, 1953. 12. K. T. Smith, D. C. Solmon, and
Danielle Silverman, Jim Wiseman
openaire   +2 more sources

Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression

International Journal of Neural Systems, 2020
To examine the electrophysiological underpinnings of the functional networks involved in music listening, previous approaches based on spatial independent component analysis (ICA) have recently been used to ongoing electroencephalography (EEG) and ...
Yongjie Zhu, Xiaoyu Wang, K. Mathiak, P. Toiviainen, T. Ristaniemi, Jing Xu, Yi Chang, F. Cong   +7 more
semanticscholar   +1 more source

Emotional Recognition Based on Convolutional Neural Network

2022 2nd International Conference on Computational Modeling, Simulation and Data Analysis (CMSDA), 2022
Recently, emotional recognition based on machine learning algorithm has gained greater attention. Considering python has an excellent open-source model PyEEG which is especially made for dealing with EEG signal, and rich machine learning models, so we ...
Yuan Teng, Zhuohao Xu, Delang Chen, Zixuan Xu   +3 more
semanticscholar   +1 more source

Distinct Neural Connectivity Patterns During Music Listening and Imagination: An Electroencephalography Study

Brain Connectivity
Background: The brain's function changes during various activities, and numerous studies have explored this field. An intriguing and significant area of research is the brain's functioning during imagination and periods of inactivity.
Kiarash Fouladi, Hessam Ahmadi, A. Nasrabadi   +2 more
semanticscholar   +1 more source

Lead Instrument Detection from Multitrack Music

IEEE International Conference on Acoustics, Speech, and Signal Processing
Prior approaches to lead instrument detection primarily analyze mixture audio, limited to coarse classifications and lacking generalization ability. This paper presents a novel approach to lead instrument detection in multitrack music audio by crafting ...
Longshen Ou, Yu Takahashi, Ye Wang
semanticscholar   +1 more source

MUSIC Spectra Using Cayley Graphs of Multiple-Valued Signals

IEEE International Symposium on Multiple-Valued Logic
In this work, we propose an alternative method for generating the MUSIC (Multiple Signal Classification) pseudospectra by utilizing the spectral properties of Cayley graphs.
Aviraj Sinha, Darrell L. Young, Eric C. Larson, Mitchell A. Thornton   +3 more
semanticscholar   +1 more source

Classical Guitar Duet Separation Using GuitarDuets - A Dataset of Real and Synthesized Guitar Recordings

International Society for Music Information Retrieval Conference
Recent advancements in music source separation (MSS) have focused in the multi-timbral case, with existing architectures tailored for the separation of distinct instruments, overlooking thus the challenge of separating instruments with similar timbral ...
Marios Glytsos, Christos Garoufis, Athanasia Zlatintsi, Petros Maragos   +3 more
semanticscholar   +1 more source

Common quantitative characteristics of music melodies — pursuing the constrained entropy maximization casually in composition

Science China Information Sciences, 2022
Nan Nan, Xiaohong Guan, Yi-Xiang Wang, Youtian Du   +3 more
semanticscholar   +1 more source