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Basso continuo is a baroque improvisatory accompaniment style which involves improvising multiple parts above a given bass line in a musical score on a harpsichord or organ. Basso continuo is not merely a matter of history; moreover, it is…

Sound · Computer Science 2026-01-29 Adam Štefunko , Carlos Eduardo Cancino-Chacón , Jan Hajič

Musicians produce individualized, expressive performances by manipulating parameters such as dynamics, tempo and articulation. This manipulation of expressive parameters is informed by elements of score information such as pitch, meter, and…

Sound · Computer Science 2019-06-18 Zhengshan Shi , Carlos Cancino-Chacón , Gerhard Widmer

Modern keyboards allow a musician to play multiple instruments at the same time by assigning zones -- fixed pitch ranges of the keyboard -- to different instruments. In this paper, we aim to further extend this idea and examine the…

Sound · Computer Science 2021-10-22 Hao-Wen Dong , Chris Donahue , Taylor Berg-Kirkpatrick , Julian McAuley

Online streaming services have become the most popular way of listening to music. The majority of these services are endowed with recommendation mechanisms that help users to discover songs and artists that may interest them from the vast…

Information Retrieval · Computer Science 2020-08-27 Diego Sánchez-Moreno , Yong Zheng , María N. Moreno-García

A piece of music can be expressively performed, or interpreted, in a variety of ways. With the help of an online questionnaire, the Con Espressione Game, we collected some 1,500 descriptions of expressive character relating to 45…

Music can be represented in multiple forms, such as in the audio form as a recording of a performance, in the symbolic form as a computer readable score, or in the image form as a scan of the sheet music. Music synchronisation provides a…

Sound · Computer Science 2022-06-02 Ruchit Agrawal

Music Performers have their own idiosyncratic way of interpreting a musical piece. A group of skilled performers playing the same piece of music would likely to inject their unique artistic styles in their performances. The variations of…

Sound · Computer Science 2021-08-06 Syed Rifat Mahmud Rafee , Gyorgy Fazekas , Geraint A. ~Wiggins

Training of elite athletes requires regular physiological and medical monitoring to plan the schedule, intensity and volume of training, and subsequent recovery. In sports medicine, ECG-based analyses are well established. However, they…

Applications · Statistics 2018-09-27 Marcel Młyńczak , Hubert Krysztofiak

The imitation of percussive instruments via the human voice is a natural way for us to communicate rhythmic ideas and, for this reason, it attracts the interest of music makers. Specifically, the automatic mapping of these vocal imitations…

Audio and Speech Processing · Electrical Eng. & Systems 2020-09-25 Alejandro Delgado , SKoT McDonald , Ning Xu , Mark Sandler

Automatic musical accompaniment is where a human musician is accompanied by a computer musician. The computer musician is able to produce musical accompaniment that relates musically to the human performance. The accompaniment should follow…

Sound · Computer Science 2018-03-28 Anyi Rao , Francis Lau

Musical improvisation, much like spontaneous speech, reveals intricate facets of the improviser's state of mind and emotional character. However, the specific musical components that reveal such individuality remain largely unexplored.…

Sound · Computer Science 2023-10-05 Tatsuya Daikoku

A musical score provides the essential instructions for its performance while containing indications - at times implicit - regarding the composer's intentions. The presence of authorial variants, and even more so complex series of revisions…

Sound · Computer Science 2026-05-21 Silvia Licciardi , Daniela Macchione , Emmanuel Caronna , Elisa Francomano

In this paper we present current trends in real-time music tracking (a.k.a. score following). Casually speaking, these algorithms "listen" to a live performance of music, compare the audio signal to an abstract representation of the score,…

Multimedia · Computer Science 2017-08-08 Andreas Arzt , Matthias Dorfer

Existing computational studies of popular music primarily model aggregate trends or predict chart performance, offering limited support for interpreting artist-level alignment against historical stylistic baselines. We introduce an…

Human-Computer Interaction · Computer Science 2026-03-24 Jiyeon Bae , Jinwook Seo

We present a data-driven approach for physics-based, muscle-driven dexterous control that enables musculoskeletal hands to perform precise piano playing for novel pieces of music outside the reference dataset. Our approach combines…

Graphics · Computer Science 2026-04-28 Pei Xu , Yufei Ye , Shuchun Sun , Yu Ding , Elizabeth Schumann , C. Karen Liu

A new approach in team sports analysis consists in studying positioning and movements of players during the game in relation to team performance. State of the art tracking systems produce spatio-temporal traces of players that have…

Applications · Statistics 2017-07-06 Rodolfo Metulini , Marica Manisera , Paola Zuccolotto

Most work on musical score models (a.k.a. musical language models) for music transcription has focused on describing the local sequential dependence of notes in musical scores and failed to capture their global repetitive structure, which…

Sound · Computer Science 2021-02-17 Eita Nakamura , Kazuyoshi Yoshii

This paper focuses on the oscillation threshold of single reed instruments. Several characteristics such as blowing pressure at threshold, regime selection, and playing frequency are known to change radically when taking into account the…

Classical Physics · Physics 2012-02-14 Sami Karkar , Christophe Vergez , Bruno Cochelin

Technological advances have paved the way for collecting high-resolution network data in basketball, football, and other team-based sports. Such data consist of interactions among players of competing teams indexed by space and time.…

Applications · Statistics 2024-02-14 Nicholas Grieshop , Yong Feng , Guanyu Hu , Michael Schweinberger

Understanding the features learned by deep models is important from a model trust perspective, especially as deep systems are deployed in the real world. Most recent approaches for deep feature understanding or model explanation focus on…

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