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Related papers: Automatic Music Accompanist

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We present a polyphonic MIDI score-following algorithm capable of following performances with arbitrary repeats and skips, based on a probabilistic model of musical performances. It is attractive in practical applications of score following…

Artificial Intelligence · Computer Science 2014-07-08 Eita Nakamura , Tomohiko Nakamura , Yasuyuki Saito , Nobutaka Ono , Shigeki Sagayama

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

This paper introduces the ACCompanion, an expressive accompaniment system. Similarly to a musician who accompanies a soloist playing a given musical piece, our system can produce a human-like rendition of the accompaniment part that follows…

Recommendation systems that automatically generate personalized music playlists for users have attracted tremendous attention in recent years. Nowadays, most music recommendation systems rely on item-based or user-based collaborative…

Information Retrieval · Computer Science 2020-05-06 Tao Li , Minsoo Choi , Kaiming Fu , Lei Lin

Hidden Markov Models (HMMs) are a ubiquitous tool to model time series data, and have been widely used in two main tasks of Automatic Music Transcription (AMT): note segmentation, i.e. identifying the played notes after a multi-pitch…

Machine Learning · Statistics 2017-04-13 D. Cazau , G. Nuel

Algorithmic composition of music has a long history and with the development of powerful deep learning methods, there has recently been increased interest in exploring algorithms and models to create art. We explore the utility of state…

Sound · Computer Science 2018-10-02 Anna K. Yanchenko , Sayan Mukherjee

Score following is the process of tracking a musical performance (audio) with respect to a known symbolic representation (a score). We start this paper by formulating score following as a multimodal Markov Decision Process, the mathematical…

Artificial Intelligence · Computer Science 2018-07-18 Matthias Dorfer , Florian Henkel , Gerhard Widmer

In this paper we present a preliminary version of the ACCompanion, an expressive accompaniment system for MIDI input. The system uses a probabilistic monophonic score follower to track the position of the soloist in the score, and a linear…

This paper discusses real-time alignment of audio signals of music performance to the corresponding score (a.k.a. score following) which can handle tempo changes, errors and arbitrary repeats and/or skips (repeats/skips) in performances.…

Sound · Computer Science 2022-12-05 Tomohiko Nakamura , Eita Nakamura , Shigeki Sagayama

Real-time tracking of the position of a musical performance on a musical score, i.e. score following, can be useful in music practice, performance and production. Example applications of such technology include computer-aided accompaniment…

Sound · Computer Science 2022-05-09 Lin Hao Lee

We propose a method for the problem of real time chord accompaniment of improvised music. Our implementation can learn an underlying structure of the musical performance and predict next chord. The system uses Hidden Markov Model to find…

Human-Computer Interaction · Computer Science 2012-06-28 Panagiotis Tigas

Automatic estimation of piano fingering is important for understanding the computational process of music performance and applicable to performance assistance and education systems. While a natural way to formulate the quality of fingerings…

Machine Learning · Computer Science 2020-01-03 Eita Nakamura , Yasuyuki Saito , Kazuyoshi Yoshii

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

Algorithmic harmonization - the automated harmonization of a musical piece given its melodic line - is a challenging problem that has garnered much interest from both music theorists and computer scientists. One genre of particular interest…

Sound · Computer Science 2022-02-24 Yunyao Zhu , Stephen Hahn , Simon Mak , Yue Jiang , Cynthia Rudin

This paper presents a new approach to algorithmic composition, called predictive controlled music (PCM), which combines model predictive control (MPC) with music generation. PCM uses dynamic models to predict and optimize the music…

Sound · Computer Science 2026-01-09 Midhun T. Augustine

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

Musical score following is the real-time mapping of a performance to corresponding locations in a musical score. Score following can be used in a variety of applications including automatic page turning and real-time accompaniment. This…

Audio and Speech Processing · Electrical Eng. & Systems 2025-02-18 Josephine Cowley

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

Virtual musicians have become a remarkable phenomenon in the contemporary multimedia arts. However, most of the virtual musicians nowadays have not been endowed with abilities to create their own behaviors, or to perform music with human…

Multimedia · Computer Science 2020-09-17 Yuen-Jen Lin , Hsuan-Kai Kao , Yih-Chih Tseng , Ming Tsai , Li Su

This paper addresses the task of score following in sheet music given as unprocessed images. While existing work either relies on OMR software to obtain a computer-readable score representation, or crucially relies on prepared sheet image…

Machine Learning · Computer Science 2020-07-22 Florian Henkel , Rainer Kelz , Gerhard Widmer
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