A systematic review of hidden Markov models and their applications
B Mor, S Garhwal, A Kumar - Archives of computational methods in …, 2021 - Springer
The hidden Markov models are statistical models used in many real-world applications and
communities. The use of hidden Markov models has become predominant in the last …
communities. The use of hidden Markov models has become predominant in the last …
Computational models of expressive music performance: A comprehensive and critical review
Expressive performance is an indispensable part of music making. When playing a piece,
expert performers shape various parameters (tempo, timing, dynamics, intonation …
expert performers shape various parameters (tempo, timing, dynamics, intonation …
Learning to listen, read, and follow: Score following as a reinforcement learning game
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 …
known symbolic representation (a score). We start this paper by formulating score following …
[PDF][PDF] Flexible and robust music tracking
A Arzt - Ph. D. thesis, 2016 - epub.jku.at
Nowadays computers play an important role in all areas of music, from composition to
production and live performance. This is obvious for all kinds of popular music, where …
production and live performance. This is obvious for all kinds of popular music, where …
[PDF][PDF] Score Following as a Multi-Modal Reinforcement Learning Problem.
Score following is the process of tracking a musical performance (audio) in a corresponding
symbolic representation (score). While methods using computer-readable score …
symbolic representation (score). While methods using computer-readable score …
Artificial musical intelligence: A survey
Computers have been used to analyze and create music since they were first introduced in
the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale …
the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale …
Autoregressive asymmetric linear Gaussian hidden Markov models
C Puerto-Santana, P Larrañaga… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In a real life process evolving over time, the relationship between its relevant variables may
change. Therefore, it is advantageous to have different inference models for each state of …
change. Therefore, it is advantageous to have different inference models for each state of …
Learning to read and follow music in complete score sheet images
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 …
images. While existing work either relies on OMR software to obtain a computer-readable …
A systematic literature review on computational musicology
B Mor, S Garhwal, A Kumar - Archives of Computational Methods in …, 2020 - Springer
Heartbeat retains a musical rhythm and music speaks whenever words fail. This paper
provides a systematic review of the papers related to computational musicology. This …
provides a systematic review of the papers related to computational musicology. This …
Real-Time Music Following in Score Sheet Images via Multi-Resolution Prediction
The task of real-time alignment between a music performance and the corresponding score
(sheet music), also known as score following, poses a challenging multi-modal machine …
(sheet music), also known as score following, poses a challenging multi-modal machine …