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Research on style transfer and domain translation has clearly demonstrated the ability of deep learning-based algorithms to manipulate images in terms of artistic style. More recently, several attempts have been made to extend such…

Sound · Computer Science 2021-06-11 Ondřej Cífka , Umut Şimşekli , Gaël Richard

Real-time computer-based accompaniment for human musical performances entails three critical tasks: identifying what the performer is playing, locating their position within the score, and synchronously playing the accompanying parts. Among…

Sound · Computer Science 2025-03-11 Ashwin Pillay

Co-creativity in music refers to two or more musicians or musical agents interacting with one another by composing or improvising music. However, this is a very subjective process and each musician has their own preference as to which…

Sound · Computer Science 2024-02-13 Vignesh Gokul , Chris Francis , Shlomo Dubnov

Music rearrangement involves reshuffling, deleting, and repeating sections of a music piece with the goal of producing a standalone version that has a different duration. It is a creative and time-consuming task commonly performed by an…

Sound · Computer Science 2023-05-15 Christos Plachouras , Marius Miron

This paper presents a method for synthesizing a reactive program which coordinates the actions of a group of other reactive programs, so that the combined system satisfies a temporal specification of its desired long-term behavior.…

Programming Languages · Computer Science 2019-11-12 Suguman Bansal , Kedar S. Namjoshi , Yaniv Sa'ar

The representation of basic elements of music in terms of discrete audio signals is often used in software for musical creation and design. Nevertheless, there is no unified approach that relates these elements to the discrete samples of…

Composing coherent long-form music remains a significant challenge due to the complexity of modeling long-range dependencies and the prohibitive memory and computational requirements associated with lengthy audio representations. In this…

Audio and Speech Processing · Electrical Eng. & Systems 2026-03-24 Jianyi Chen , Rongxiu Zhong , Shilei Zhang , Kun Qian , Jinglei Liu , Yike Guo , Wei Xue

This paper presents a real-time generative drawing system that interprets and integrates both formal intent - the structural, compositional, and stylistic attributes of a sketch - and contextual intent - the semantic and thematic meaning…

Computer Vision and Pattern Recognition · Computer Science 2025-08-28 Jookyung Song , Mookyoung Kang , Nojun Kwak

While existing Singing Voice Synthesis systems achieve high-fidelity solo performances, they are constrained by global timbre control, failing to address dynamic multi-singer arrangement and vocal texture within a single song. To address…

Sound · Computer Science 2026-02-10 Jiatao Chen , Xing Tang , Xiaoyue Duan , Yutang Feng , Jinchao Zhang , Jie Zhou

This pictorial aims to critically consider the nature of text-to-audio and text-to-music generative tools in the context of explainable AI. As a group of experimental musicians and researchers, we are enthusiastic about the creative…

Sound · Computer Science 2024-08-15 Jesse Allison , Drew Farrar , Treya Nash , Carlos Román , Morgan Weeks , Fiona Xue Ju

This Thesis discusses the development of technologies for the automatic resynthesis of music recordings using digital synthesizers. First, the main issue is identified in the understanding of how Music Information Processing (MIP) methods…

Sound · Computer Science 2022-05-03 Federico Simonetta

Music generation introduces challenging complexities to large language models. Symbolic structures of music often include vertical harmonization as well as horizontal counterpoint, urging various adaptations and enhancements for large-scale…

Sound · Computer Science 2024-07-30 Seungyeon Rhyu , Kichang Yang , Sungjun Cho , Jaehyeon Kim , Kyogu Lee , Moontae Lee

Music and language are structurally similar. Such structural similarity is often explained by generative processes. This paper describes the recent development of probabilistic generative models (PGMs) for language learning and symbol…

Human-Computer Interaction · Computer Science 2025-01-28 Tadahiro Taniguchi

Reactive synthesis is a class of methods to construct a provably-correct control system, referred to as a robot, with respect to a temporal logic specification in the presence of a dynamic and uncontrollable environment. This is achieved by…

Formal Languages and Automata Theory · Computer Science 2020-04-24 Abhishek N. Kulkarni , Jie Fu

Context: The term reactivity is popular in two areas of research: programming languages and distributed systems. On one hand, reactive programming is a paradigm which provides programmers with the means to declaratively write event-driven…

Programming Languages · Computer Science 2019-02-05 Florian Myter , Christophe Scholliers , Wolfgang De Meuter

Using open-source and creative coding frameworks, a teamof artist-engineers from Portland Community College work-ing with artists who experience Intellectual/Developmentaldisabilities prototyped an ensemble of adapted instrumentsand…

Sound · Computer Science 2020-11-19 Quinn Jarvis-Holland , Crystal Cortez , Nathan , Gamill , Francisco Botello

Much like most of cognition research, music cognition is an interdisciplinary field, which attempts to apply methods of cognitive science (neurological, computational and experimental) to understand the perception and process of composition…

Sound · Computer Science 2022-08-16 Abhimanyu Sethia , Aayush

Reactive synthesis is a paradigm for automatically building correct-by-construction systems that interact with an unknown or adversarial environment. We study how to do reactive synthesis when part of the specification of the system is that…

Logic in Computer Science · Computer Science 2018-04-23 Daniel J. Fremont , Sanjit A. Seshia

Synthesizers are powerful tools that allow musicians to create dynamic and original sounds. Existing commercial interfaces for synthesizers typically require musicians to interact with complex low-level parameters or to manage large…

Human-Computer Interaction · Computer Science 2024-02-22 Stephen Brade , Bryan Wang , Mauricio Sousa , Gregory Lee Newsome , Sageev Oore , Tovi Grossman

High quality user feedback data is essential to training and evaluating a successful music recommendation system, particularly one that has to balance the needs of multiple stakeholders. Most existing music datasets suffer from noisy…

Information Retrieval · Computer Science 2021-09-17 Sasha Stoikov , Hongyi Wen
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