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Hi there 👋, I'm Tim. I'm a research assistant at Corpus monodicum and am currently working on my doctoral thesis on Chant in the Medieval Ages from a statistical point of view. I am also interested in web development and machine learning.

About Me

I am currently working on:

  • A Bayesian Phylogenetic Model for a Collection of Medieval Chant Variants to Explore Different Historical Traces of the Different Chants
  • A Paper about Network Modeling of the Transmission of Trope Elements
  • A Paper on determining played scales and their relationship to chords in jazz music (Corpus study derived from the Weimar Jazz Database)
  • MonodiKit, an interface that simplifies using Corpus monodicum data for digital corpus studies. Additionally, it serves as a conversion interface, enabling the transformation of the data into standardized formats such as MEI.

My academic profile: Tim Eipert – Universität Würzburg

📫 How to reach me

Email: [email protected]

🔧Tools/Languages I Like To Use

Learning

  • I am working on a better understanding of Bayesian Modeling and Causal Inference as a means to describe a model of transmitted medieval chant.

Tim Eipert's Projects

cantuscorpus icon cantuscorpus

A corpus of plainchant for computational musicology, scraped from the Cantus database

chant21 icon chant21

Python library for working with plainchant in Music21

chantdigger-restored icon chantdigger-restored

Eine aufbereitete Version der vier Teilkorpora einstimmiger mittelalterlicher Gesänge von Max Haas: http://oralhistoryofchant.ch

music-encoding icon music-encoding

美 The Music Encoding Initiative schema and guidelines development repository

pcslab icon pcslab

A serverless graphical interface for pcs theory informed analysis.

python-for-scientists icon python-for-scientists

A list of recommended Python libraries, and resources, intended for scientific Python users.

shiftplanner icon shiftplanner

Shift Planner with automatic shift distribution (spec project as exercise)

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