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Music & Science Lab

  • Info
    • Team
    • About
    • Partners
    • Members’ Area
  • Projects
    • Music & Emotions
      • Cross-cultural research in music and emotions
      • The Pleasure of Listening to Sad Music
      • Musical Properties of Emotions
    • Timing, Entrainment, & Embodiment
      • Interpersonal Entrainment in Music Performance
        • People
        • What is musical entrainment?
        • Work Packages
        • Research Outputs
        • Events & Media
      • The Breath of Music
    • Music & Memory
      • Earworms
      • Music-Evoked Autobiographical Memories
    • Music & Mind-Wandering
      • Mind-Wandering During Music Listening
    • Corpus Studies
      • Large-scale corpus analysis of historical electronic music
    • Postdoc & PhD Projects
  • Events
    • NEMuR 7 at Durham
    • Music and Science Lab Meetings
    • Music and Science Open Day 2021
    • Virtual Workshop – The Psychology of Live Music Performance
      • Workshop Schedule
      • Abstracts and Bios
    • Music & Science Symposium 2020
    • Workshop-Symposium on Research Methods in Music and Emotion
      • Call for papers
      • Registration
      • Programme
    • Music & Lifetime Memories: An Interdisciplinary Conference
      • Call for Papers
      • Registration & Programme
      • Travel & Accommodation
      • Presenter Guidelines
    • Past Events
  • Study
    • Postgraduate Study
      • New MA Specialism in Music and Science
    • Undergraduate Study
  • DURMS
    • Durham Undergraduate Research in Music & Science
    • Submission Guidelines
    • Volume 1
    • Volume 2
    • Volume 3
    • Volume 4
    • Volume 5
    • Editorial Team
  • Resources
    • Blog
    • Collections & Data
    • Rhythm Activities for Primary School

Corpus Studies

We employ a variety of methods for investigating large corpora of music. Examples of previous projects include the use of Music Information Retrieval (MIR) methods to investigate historical recordings of electronic music and entrainment analyses of diverse datasets of musical performances within the IEMP project.

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