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MCMChaos: Improvising Rap Music with MCMC Methods and Chaos Theory

arXiv 2401.07967 ↗First posted 15 Jan 2024cs.SD cs.CL cs.HCcited by 0

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Abstract (arXiv)

A novel freestyle rap software, MCMChaos 0.0.1, based on rap music transcriptions created in previous research is presented. The software has three different versions, each making use of different mathematical simulation methods: collapsed gibbs sampler and lorenz attractor simulation. As far as we know, these simulation methods have never been used in rap music generation before. The software implements Python Text-to-Speech processing (pyttxs) to convert text wrangled from the MCFlow corpus into English speech. In each version, values simulated from each respective mathematical model alter the rate of speech, volume, and (in the multiple voice case) the voice of the text-to-speech engine on a line-by-line basis. The user of the software is presented with a real-time graphical user interface (GUI) which instantaneously changes the initial values read into the mathematical simulation methods. Future research might attempt to allow for more user control and autonomy.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 14 references that are in the map. First posted on arXiv 15 Jan 2024.

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3 of 14 references.

References · 3

  1. 2021DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modelingcited by 24
  2. 2015DopeLearning: A Computational Approach to Rap Lyrics Generationcited by 17
  3. 2018DeepJ: Style-Specific Music Generationcited by 12

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