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This study argues that electronic tones routinely used in contemporary popular music - including 808-style bass and power chords - are structurally and perceptually equivalent to multiphonics in contemporary classical music. Using listening…

Sound · Computer Science 2026-02-23 Emmanuel Deruty , David Meredith , Yann Macé , Luc Leroy , Dima Tsypkin , Pascal Arbez-Nicolas

Frequency tagging is a powerful approach to investigate the neural processing of sensory features, and is recently adapted to study the neural correlates of superordinate structures, i.e., chunks, in complex sequences such as speech and…

Neurons and Cognition · Quantitative Biology 2023-01-04 Nai Ding

Music is a structured and perceptually rich sequence of sounds in time, whose perception is shaped by the interplay of expectation and uncertainty about what comes next. Yet the uncertainty we infer from music depends on how the musical…

Physics and Society · Physics 2026-03-12 Lluc Bono Rosselló , Robert Jankowski , Hugues Bersini , Marián Boguñá , M. Ángeles Serrano

In this article, a framework for defining and analysing a family of graphs or networks from symbolic music information is discussed. Such graphs concern different types of elements, such as pitches, chords and rhythms, and the relations…

Social and Information Networks · Computer Science 2024-04-24 Alberto Alcalá-Alvarez , Pablo Padilla-Longoria

Music is a complex socio-cultural construct, which fascinates researchers in diverse fields, as well as the general public. Understanding the historical development of music may help us understand perceptual and cognition, while also…

Physics and Society · Physics 2023-08-08 Alfredo González-Espinoza , Joshua B. Plotkin

Regression with compositional response or covariates, or even regression between parts of a composition, is frequently employed in social sciences. Among other possible applications, it may help to reveal interesting features in time…

Statistics Theory · Mathematics 2016-09-27 Ivo Muller , Karel Hron , Eva Fiserova , Jan Smahaj , Panajotis Cakirpaloglu , Jana Vancakova

Deep neural networks (DNN) have been successfully applied to music classification including music tagging. However, there are several open questions regarding the training, evaluation, and analysis of DNNs. In this article, we investigate…

Information Retrieval · Computer Science 2017-11-15 Keunwoo Choi , George Fazekas , Kyunghyun Cho , Mark Sandler

We introduce Ragas (Retrieval Augmented Generation Assessment), a framework for reference-free evaluation of Retrieval Augmented Generation (RAG) pipelines. RAG systems are composed of a retrieval and an LLM based generation module, and…

Computation and Language · Computer Science 2025-04-29 Shahul Es , Jithin James , Luis Espinosa-Anke , Steven Schockaert

Driven many-body systems have been shown to exhibit discrete time crystal phases characterized by broken discrete time-translational symmetry. This has been achieved generally through a subharmonic response, in which the system undergoes…

Pattern Formation and Solitons · Physics 2021-05-13 Zachary G. Nicolaou , Adilson E. Motter

We propose music tagging with classifier chains that model the interplay of music tags. Most conventional methods estimate multiple tags independently by treating them as multiple independent binary classification problems. This treatment…

Sound · Computer Science 2025-01-20 Takuya Hasumi , Tatsuya Komatsu , Yusuke Fujita

Instrumental playing techniques such as vibratos, glissandos, and trills often denote musical expressivity, both in classical and folk contexts. However, most existing approaches to music similarity retrieval fail to describe timbre beyond…

The dynamical equations of clarinet-like systems are known to be reducible to a non-linear iterated map within reasonable approximations. This leads to time oscillations that are represented by square signals, analogous to the Raman regime…

Chaotic Dynamics · Physics 2010-09-21 Pierre-André Taillard , Jean Kergomard , Franck Laloë

Previous research has shown positive correlations between EEG alpha activity and performing creative tasks. In this study, expert classical musicians (n=4) were asked to play their instrument while being monitored with a wireless EEG…

Neurons and Cognition · Quantitative Biology 2016-12-21 Tom De Smedt , Lieven Menschaert , Pieter Heremans , Ludivine Lechat , Gaëlle Dhooghe

Little research focuses on cross-modal correlation learning where temporal structures of different data modalities such as audio and lyrics are taken into account. Stemming from the characteristic of temporal structures of music in nature,…

Information Retrieval · Computer Science 2017-11-30 Yi Yu , Suhua Tang , Francisco Raposo , Lei Chen

Automatic music genre classification is a long-standing challenge in Music Information Retrieval (MIR); work on non-Western music traditions remains scarce. Nepali music encompasses culturally rich and acoustically diverse genres--from the…

Sound · Computer Science 2026-03-17 Sachin Prajuli , Abhishek Karna , OmPrakash Dhakl

Understanding the structural and cognitive underpinnings of musical compositions remains a key challenge in music theory and computational musicology. While traditional methods focus on harmony and rhythm, cognitive models such as the…

Sound · Computer Science 2025-11-03 A. V. Bomediano , R. J. Conanan , L. D. Santuyo , A. Coronel

In classical music and in any genre of contemporary music, the tonal elements or notes used for playing are the same. The numerous possibilities of chords for a given instance in a piece make the playing, in general, very intricate, and…

Sound · Computer Science 2022-06-14 Steve Mathew D A

This paper focuses on the nominal durations of musical events (notes and rests) in a symbolic musical score, and on how to conveniently handle these in computer applications. We propose the usage of a temporal unit that is directly related…

The nervous system displays a variety of rhythms in both waking and sleep. These rhythms have been closely associated with different behavioral and cognitive states, but it is still unknown how the nervous system makes use of these rhythms…

Dynamical Systems · Mathematics 2007-05-23 Nancy Kopell

Indian twin drums mainly bayan and dayan (tabla) are the most important percussion instruments in India popularly used for keeping rhythm. It is a twin percussion/drum instrument of which the right hand drum is called dayan and the left…