Multimodal Generative Music With Pre-Synchronized Lyrics
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Solution Overview
Problem
Existing generative models require multiple interactions and consume significant computational and network resources to generate synchronized audio-based and audio-visual musical content, often resulting in nonsensical outputs that require additional processing.
Innovation Solution
Utilize a single or multiple generative models, fine-tuned to process multimodal inputs, to generate synchronized audio-based and audio-visual musical content directly, with a unified user interface and seed-based modifications to enhance efficiency and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple disparate generative models are used to generate musical content, then the functional versatility is improved, but the device complexity and computational resource consumption increase
Solution Approach 1:
The patent combines multiple disparate generative models (LLM for lyrics, music generation model for composition, image/video generation models for visuals) into a unified system where a single multimodal generative model processes user input and generates all components of musical content (lyrics, music, and visual media) in one interaction, eliminating the need to separately interact with multiple models
Solution Approach 2:
The patent implements a universal generative model that performs multiple functions: it generates lyrical content, music composition content, and visual multimedia content based on user input, replacing the need for separate specialized models for each function
2Manufacturing precision
If multiple disparate generative models are interacted with separately, then the manufacturing precision of content generation is improved, but the loss of time and computational resources increases
Solution Approach 1:
The patent performs preliminary synchronization by designing the generative model to output timestamps for each generated content element (lyrics, music, visuals) during the single generation process, ensuring they are pre-synchronized before being sent to the client device for playback, eliminating the need for post-generation synchronization processing
3Adaptability or versatility
If disparate generative models are used to generate lyrical and musical content, then the adaptability of content types is improved, but the reliability of content synchronization deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the generative model receives user feedback on the generated musical content and can iteratively refine and regenerate content to improve synchronization and quality, allowing the system to learn from mismatches and adjust future generations
Data Source
AI summary
Implementations relate to utilizing generative model(s) (GM(s)) to generate musical content that includes at least lyrical content and music composition content. Processor(s) of a system can: receive user input associated with a client device of a user that includes a request for the musical content, generate the musical content, and cause the musical content to be audibly rendered at the client device. In some implementations, the processor(s) can cause a single GM to process GM input (including at least the user input) to generate GM output and can determine the lyrical content and the music composition content based on the GM output. In other implementations, the processor(s) can cause multiple GMs to process respective GM inputs (each including at least the user input) to generate respective GM outputs and can determine the lyrical content and the music composition content based on the respective GM outputs.