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timeipert/README.md

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 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]

Learning

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

Pinned Loading

  1. digital-landscape-of-chant digital-landscape-of-chant Public

    Resources for digital corpus analysis of medieval monophonic chant

    1

  2. MonodiKit MonodiKit Public

    Python Interface to Corpus monodicum

    Python 1

  3. ChantSynopsis ChantSynopsis Public

    a tool for generating visualizations of monophonic chants

    1

  4. chantdigger-restored chantdigger-restored Public

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

    JavaScript 1

  5. smith-waterman-score smith-waterman-score Public

    A easy and clear javascript solution of the smith-waterman algorithm.

    JavaScript

  6. melodic-sequence-alignment melodic-sequence-alignment Public

    My implementation of the smith waterman algorithm with vuejs

    Vue 2