Virtual Instrument Library Management for Automated Music Performance
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Solution Overview
Problem
The music industry faces limitations due to the outdated MIDI Standard, which lacks standardization in instrument sampling and control, leading to constraints in musical notation and performance, particularly in modern software-driven applications that require more advanced control and quality.
Innovation Solution
A new virtual musical instrument library management system employing rule-based instrument performance logic to predict sample playback based on music-theoretic states, enabling automated selection and performance of sampled and synthesized notes, integrated with AI-driven music composition and generation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the outdated MIDI Standard is used for instrument sampling and control, then device compatibility and ease of operation are maintained, but manufacturing precision, measurement precision, and adaptability are limited
Solution Approach 1:
The patent changes the fundamental parameters of music-theoretic state representation from traditional MIDI conventions to a comprehensive state descriptor framework that includes role, note, and metric dimensions. This enables precise control over instrument sampling and performance while maintaining manageable system complexity through structured data organization and rule-based processing.
2Adaptability or versatility
If conventional MIDI systems are used for automated music performance, then ease of operation and device compatibility are preserved, but adaptability to modern software-driven applications and control quality are insufficient
Solution Approach 1:
The patent segments music-theoretic state information into distinct components: role descriptors (instrument function), note descriptors (pitch and timing), and metric descriptors (tempo and rhythm). This segmentation preserves complete musical information while enabling flexible adaptation to various software applications through targeted use of different state components.
Solution Approach 2:
The patent introduces music-theoretic state descriptors as an intermediary layer between the music composition and the automated performance system. These descriptors act as a comprehensive communication protocol that preserves all musical information while enabling precise control of virtual musical instruments in modern software environments.
3Reliability
If hand-recorded audio sound samples are used in virtual musical instrument libraries, then realism and expressiveness are improved, but productivity and automation capability are reduced
Solution Approach 1:
The patent enables automated music performance systems to self-select appropriate audio samples from virtual musical instrument libraries based on music-theoretic state descriptors. The system automatically determines which samples to play, how to process them, and how to combine them, achieving both high realism through careful sample selection and high productivity through complete automation.
Solution Approach 2:
The patent implements feedback loops where the automated performance system continuously analyzes music-theoretic states and adjusts sample selection and processing in real-time. This feedback mechanism ensures realistic performance by adapting sample choices to the specific musical context while maintaining automation efficiency through algorithmic decision-making.
Data Source
AI summary
An automated music performance system that is driven by the music-theoretic state descriptors of any musical structure (e.g. a music composition or sound recording). The system can be used with next generation digital audio workstations (DAWs), virtual studio technology (VST) plugins, virtual music instrument libraries, and automated music composition and generation engines, systems and platforms. The automated music performance system generates unique digital performances of pieces of music, using virtual musical instruments created from sampled notes or sounds and/or synthesized notes or sounds. Each virtual music instrument has its own set of music-theoretic state responsive performance rules that are automatically triggered by the music theoretic state descriptors of the music composition or performance to be digitally performed. An automated virtual music instrument (VMI) library selection and performance subsystem is provided for managing the virtual musical instruments during the automated digital music performance process.