In the world of music composition, creating a harmonic structure can be daunting. But fear not! With MusicLang’s text-chord-predictor, predicting the next chords in a progression has never been easier. In this article, we will guide you through the process of using this powerful model.

Getting Started

MusicLang’s text-chord-predictor allows you to input a chord progression in standard pop format, and it will intelligently predict future chords. This guide will walk you through the necessary steps!

Step-by-Step Guide

• Input Format: Make sure to use the START token at the beginning of your prompt. An example input could be: START CM Dm G7B.
• Chord Types: Only specific chord types are recognized. Supported chords include:
  • M (Major)
  • m (Minor)
  • 7 (Seventh Dominant)
  • M7 (Major with Major Seventh)
  • m7 (Minor with Minor Sevenths)
  • m7b5 (Half Diminished)
  • dim (Diminished Triad)
  • o (Diminished Seventh)
  • aug (Augmented)
• Chords Without Vocabulary: If you encounter a chord not in the vocabulary (e.g., C#M), use its enharmonic equivalent (DbM).
• Chord Inversions: Inversions are supported using the notation (e.g., CME for C major over bass E).
• Harmonic Rhythm Focus: Remember, this model focuses exclusively on chord progression without considering harmonic rhythm.

Example Usage

Suppose you begin with a progression like START CM Dm7. The model will analyze this input and generate the next chords for you to continue your musical creation seamlessly. It’s akin to having a musical partner who intuitively understands the flow of your composition!

Troubleshooting Your Predictions

If you experience issues or unexpected results, here are some troubleshooting tips:

• Ensure you included the START token at the very start of your input.
• Check that all chords used are within the specified vocabulary and utilize enharmonic equivalents as needed.
• If encountering errors related to bass notes, double-check the inversion notation.
• For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

License and Usage Guidelines

This model is free to use for research and open-source purposes. If you’re planning to integrate this into a commercial product, please contact the developer for licensing terms.

Conclusion

With MusicLang’s text-chord-predictor, musicians and composers can enhance their songwriting experience enormously by easily predicting subsequent chords.
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.