How it work?
How ScrummyAI Generates Tracks
User Input Processing: The user provides a request, such as: “Create a relaxing melody for evening relaxation.” The AI processes the text using natural language processing (NLP) technologies to extract key parameters: genre, mood, preferred instruments, and the desired track length.
Transforming Text into Musical Parameters: After analyzing the request, the AI interprets the described elements and converts them into a set of musical characteristics, such as:
Tempo (BPM): Reflecting the speed of the music.
Harmony and chords: Tailored to the mood (e.g., major for joyful music or minor for melancholic tones).
Instruments: Specified in the prompt, like piano, strings, or electronic synthesizers.
Creating the Track Structure: The system generates the foundation of the track using deep learning algorithms. It defines:
Rhythmic patterns.
Core harmonic progressions.
Melodic lines and their development.
Mixing and Adding Details: The AI enhances the track by layering additional elements to create a rich sound, including:
Percussion and rhythm sections.
Instrumental arrangements and interactions.
Track dynamics, adding contrast between sections (e.g., a calm verse and an energetic chorus).
Customization Based on User Preferences: Users can fine-tune the track in real time by modifying parameters such as tempo, instrument layers, or overall tone. The AI adapts the music instantly to reflect these changes.
Sound Quality Optimization: ScrummyAI employs professional-grade audio algorithms to ensure the output is studio-quality, making it ready for use in films, games, podcasts, or other projects.
Export and Integration: Once the track is finalized, users can export it in MP3 format. Also, soon we will provide access to our API so that everyone can import ScrummyAI to their website!