Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations
Transforming Multimodal Inspirations into Music
Amuse is a novel songwriting assistant that transforms multimodal inputs (images, text, or audio) into coherent chord progressions, enhancing creative workflows.
Unlocking Creative Potential with AI
Our analysis of Amuse reveals significant improvements in songwriter agency, creativity, and efficiency, fostering a more intuitive and inspiring creative process.
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Preferred for Keyword Relevance
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Increased Agency (out of 7)
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Enhanced Idea Exploration (out of 7)
Deep Analysis & Enterprise Applications
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Transforming Multimodal Inspirations
Enhancing Creative Workflow
6.20/7
Participants' rating for Inspiration Support with AMUSE
P2: Kickstarting with Melancholy
P2 used AMUSE to generate chord progressions for a 'melancholy, storytelling' song inspired by a 'trauma bonding experience'. The tool's suggestions aligned well with their creative goals.
Key Benefits:
- Direct translation of abstract ideas into musical elements.
- Alignment with creative intentions.
- Foundation for full song development.
AMUSE Chord Generation Workflow
User Input (Image/Text)
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Extract Music Keywords (LLM)
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Refine Keywords (User)
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Generate Noisy Chords (LLM)
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Filter & Select Coherent Chords (Unimodal Chord Model)
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Output Chord Progressions
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5.80/7
Participants' rating for Controllable Process with AMUSE
P4: Ad-Hoc Inspiration Flow
P4 used AMUSE to transform text inspiration ('1984' concept) into initial chords, then returned to AMUSE with new inspiration (Billie Eilish song) to continue building the progression, demonstrating iterative workflow integration.
Key Benefits:
- Supports iterative and evolving creative ideas.
- Facilitates dynamic transformation of new inspirations.
- Maintains creative momentum.
Advanced ROI Calculator
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Implementation Roadmap
A phased approach to integrating AMUSE into your creative operations, ensuring a smooth transition and maximum impact.
Phase 1: Initial Integration & Training
Onboarding creative teams, integrating with existing DAWs, and foundational training on AMUSE features and best practices.
Phase 2: Pilot Projects & Feedback Loop
Running controlled pilot projects with selected teams to gather feedback, identify specific use cases, and refine integration strategies.
Phase 3: Full-Scale Deployment & Optimization
Expanding AMUSE across all relevant creative departments, continuous monitoring, and optimization based on performance metrics and user feedback.
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