Automated Music Creation Workflow with AI Chord and Melody Tools

Discover AI-driven automated chord progression and melody generation workflows for music production streamline creativity and enhance composition quality

Category: AI Audio Tools

Industry: Music Production


Automated Chord Progression and Melody Generation


1. Initial Setup


1.1 Define Project Goals

Establish the desired outcome for the music production project, including genre, mood, and instrumentation.


1.2 Select AI Audio Tools

Choose suitable AI-driven tools for chord progression and melody generation. Examples include:

  • Amper Music: An AI music composition tool that allows users to create and customize original music tracks.
  • AIVA: An AI composer that generates music based on user-defined parameters.
  • Soundraw: An AI music generator that offers customizable music creation based on user inputs.

2. Chord Progression Generation


2.1 Input Parameters

Utilize the selected AI tool to input desired parameters such as key, tempo, and style.


2.2 Generate Chord Progressions

Allow the AI to analyze existing music data and generate unique chord progressions that align with the defined parameters.

Example tools for chord progression generation:

  • ChordChord: An online tool that helps users create chord progressions easily.
  • Chordify: A platform that converts songs into chord progressions for learning and inspiration.

2.3 Review and Refine

Evaluate the generated chord progressions and make adjustments as necessary to fit the project goals.


3. Melody Generation


3.1 Input Chord Progressions

Input the finalized chord progressions into the melody generation tool.


3.2 Generate Melodies

Utilize AI algorithms to create melodies that complement the chord progressions. Tools that can assist in this process include:

  • Melody Generator: A tool that creates melodies based on chord input and user preferences.
  • OpenAI MuseNet: An AI capable of generating melodies across various genres and styles.

3.3 Review and Edit

Listen to the generated melodies and refine them to enhance musicality and alignment with the project goals.


4. Integration and Arrangement


4.1 Combine Elements

Integrate the chord progressions and melodies into a digital audio workstation (DAW) for further arrangement.


4.2 Arrange the Composition

Utilize the DAW to structure the music piece, incorporating additional elements such as rhythm, basslines, and instrumentation.


5. Finalization and Export


5.1 Review the Composition

Conduct a thorough review of the entire composition, making necessary adjustments to achieve the desired sound.


5.2 Export the Final Track

Export the completed track in the desired audio format for distribution or further use.


6. Feedback and Iteration


6.1 Gather Feedback

Share the final track with peers or stakeholders to gather constructive feedback.


6.2 Iterate and Improve

Utilize feedback to make further enhancements to the composition, ensuring it meets or exceeds project expectations.

Keyword: AI music composition workflow