DeepBeat (Text Generation)
Screenshot of DeepBeat

DeepBeat

Discover DeepBeat, a machine learning tool that generates rap lyrics by combining rhyming, coherent lines from existing songs.

Screenshot

What is DeepBeat?

DeepBeat is a program that uses machine learning to create new rap lyrics by combining lines from existing rap songs so that they rhyme and make sense together. It was developed by Eric Malmi, Stephen Fenech, and Pyry Takala and launched on November 6, 2015. The underlying technology is described in their research paper, “DopeLearning: A Computational Approach to Rap Lyrics Generation.”

What is DeepBeat used for?

  • Generate rap lyrics: Automatically combine lines from existing rap songs into new lyrics.
  • Rhyme and coherence: The program assembles lines that both rhyme and flow logically.
  • Keyword integration: Add specific keywords in the settings that you want to appear in the generated lyrics.
  • Deep learning boost: Optionally enable a deep learning feature (off by default) for potentially better results.
  • Line-by-line creation: Build lyrics one line at a time using the ‘Suggest (Rhyming) Line’ buttons, or write lines manually.
  • Song recording and featuring: Record the songs you write and submit your recording for a chance to be featured on the service.
  • Feedback: The creators welcome feedback via [email protected].

How to use DeepBeat?

  1. Generate or build your lyrics: Hit ‘Generate lyrics’ to fill in empty lines automatically, or build your song piece by piece with the ‘Suggest (Rhyming) Line’ buttons, or type your own lines directly into the editor.
  2. Customize settings: Access the settings in the upper right corner to add keywords you want included in the lyrics, and optionally enable the deep learning feature for potentially better results.
  3. Showcase your creations: Browse songs already recorded with DeepBeat. To share your own, send a link to your recording via [email protected] for a chance to be featured.

For a deeper understanding of how it works, the research paper “DopeLearning: A Computational Approach to Rap Lyrics Generation” covers the technical details.

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