
Contents
-
-
-
-
-
-
-
-
Introduction Introduction
-
Cross-Cultural Perspective on Rhythm Perception Cross-Cultural Perspective on Rhythm Perception
-
Metrical Hierarchies and Event Likelihood Metrical Hierarchies and Event Likelihood
-
Meters with Non-isochronous Tactus Beats Meters with Non-isochronous Tactus Beats
-
Perceptual Categories for Temporal Duration Ratios Perceptual Categories for Temporal Duration Ratios
-
Reconciling Enculturation with Universal Tendencies in Rhythm Perception Reconciling Enculturation with Universal Tendencies in Rhythm Perception
-
Enculturation and Embodiment Enculturation and Embodiment
-
-
The Cognitivist Perspective The Cognitivist Perspective
-
Rule-Based Models of Rhythm Perception Rule-Based Models of Rhythm Perception
-
Grouping Metrical Units Grouping Metrical Units
-
Beat Tracking and Subdivision Beat Tracking and Subdivision
-
Beat Finding Beat Finding
-
-
Optimization and Preference-Rule Models Optimization and Preference-Rule Models
-
-
The Embodied Perspective The Embodied Perspective
-
Adaptive Oscillator Models Adaptive Oscillator Models
-
Neural Resonance Models Neural Resonance Models
-
Coupled Oscillation Models and Enculturation Coupled Oscillation Models and Enculturation
-
-
-
The Predictive Processing Perspective The Predictive Processing Perspective
-
Probabilistic Generative Modeling of Rhythm Perception Probabilistic Generative Modeling of Rhythm Perception
-
Rhythmic Outcomes: Grids, Intervals, and Phases Rhythmic Outcomes: Grids, Intervals, and Phases
-
The Prior Probability of Meters The Prior Probability of Meters
-
Likelihood Functions: Generating Rhythms from Meters Likelihood Functions: Generating Rhythms from Meters
-
Modeling Sequential Structure in Rhythms Modeling Sequential Structure in Rhythms
-
Simulating Enculturation with Probabilistic Generative Models Simulating Enculturation with Probabilistic Generative Models
-
-
Conclusion Conclusion
-
References References
-
Notes Notes
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Computational Modeling of Rhythm Perception and the Role of Enculturation
Get accessBastiaan van der Weij recently completed his PhD in the Music Cognition Group at the University of Amsterdam.
Marcus T. Pearce is Senior Lecturer in Sound & Music Processing at Queen Mary University of London.
Henkjan Honing is Professor of Music Cognition at the University of Amsterdam.
-
Published:21 March 2024
Cite
Abstract
This chapter compares a variety of computational models of rhythm perception and discusses them in three sections, each focusing on one of various different theoretical perspectives that exist in cognitive modeling, namely cognitivism, embodied cognition, and predictive processing. The different perspectives suggest different computational modeling techniques, which this chapter uses to differentiate models of rhythm perception. Cognitivism most naturally accommodates rule-based models, coupled oscillation models use mathematical tools associated with embodied cognition, and probabilistic generative models are consistent with predictive processing theories of cognition. Each section provides a short description of a theoretical perspective, followed by a discussion of rhythm perception models consistent with that perspective. Furthermore, the chapter draws attention to the influence that Western music theory may have had on models and theories of rhythm perception. This potential influence is of interest because rhythm perception is thought to be shaped by the history of experiences and activities of listeners, enabling the culture in which a listener is embedded to influence their perception. The chapter briefly reviews what effects this influence may have on rhythm perception, suggesting the need for modeling enculturated rather than “universal” listeners. Throughout, the chapter notes that rule-based models do not take previous experiences and activities of listeners into account, while some coupled oscillation models and probabilistic generative models, computational paradigms that gained popularity more recently, do, albeit to varying degrees. Additionally, probabilistic generative models, consistent with predictive processing, suggest a normative explanation of how previous experiences and activities shape perception.
Sign in
Personal account
- Sign in with email/username & password
- Get email alerts
- Save searches
- Purchase content
- Activate your purchase/trial code
- Add your ORCID iD
Purchase
Our books are available by subscription or purchase to libraries and institutions.
Purchasing informationMonth: | Total Views: |
---|---|
March 2024 | 15 |
April 2024 | 11 |
May 2024 | 3 |
June 2024 | 4 |
July 2024 | 5 |
August 2024 | 9 |
September 2024 | 3 |
October 2024 | 5 |
November 2024 | 9 |
December 2024 | 9 |
January 2025 | 5 |
February 2025 | 4 |
March 2025 | 2 |
April 2025 | 7 |
Get help with access
Institutional access
Access to content on Oxford Academic is often provided through institutional subscriptions and purchases. If you are a member of an institution with an active account, you may be able to access content in one of the following ways:
IP based access
Typically, access is provided across an institutional network to a range of IP addresses. This authentication occurs automatically, and it is not possible to sign out of an IP authenticated account.
Sign in through your institution
Choose this option to get remote access when outside your institution. Shibboleth/Open Athens technology is used to provide single sign-on between your institution’s website and Oxford Academic.
If your institution is not listed or you cannot sign in to your institution’s website, please contact your librarian or administrator.
Sign in with a library card
Enter your library card number to sign in. If you cannot sign in, please contact your librarian.
Society Members
Society member access to a journal is achieved in one of the following ways:
Sign in through society site
Many societies offer single sign-on between the society website and Oxford Academic. If you see ‘Sign in through society site’ in the sign in pane within a journal:
If you do not have a society account or have forgotten your username or password, please contact your society.
Sign in using a personal account
Some societies use Oxford Academic personal accounts to provide access to their members. See below.
Personal account
A personal account can be used to get email alerts, save searches, purchase content, and activate subscriptions.
Some societies use Oxford Academic personal accounts to provide access to their members.
Viewing your signed in accounts
Click the account icon in the top right to:
Signed in but can't access content
Oxford Academic is home to a wide variety of products. The institutional subscription may not cover the content that you are trying to access. If you believe you should have access to that content, please contact your librarian.
Institutional account management
For librarians and administrators, your personal account also provides access to institutional account management. Here you will find options to view and activate subscriptions, manage institutional settings and access options, access usage statistics, and more.