18184387. MODIFICATION OF MIDI INSTRUMENTS TRACKS simplified abstract (LENOVO (SINGAPORE) PTE. LTD.)
Contents
MODIFICATION OF MIDI INSTRUMENTS TRACKS
Organization Name
Inventor(s)
Matthew Fardig of Boonville IN (US)
Davidson Banner of Lindon UT (US)
Clint David Bicknell of Franklin OH (US)
MODIFICATION OF MIDI INSTRUMENTS TRACKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18184387 titled 'MODIFICATION OF MIDI INSTRUMENTS TRACKS
The abstract of the patent application describes a system that utilizes output from a machine learning algorithm trained to learn a music characteristic of a work of music. The system then receives a MIDI track, which includes a MIDI characteristic, and modifies the MIDI characteristic based on the music characteristic of the work of music.
- The system receives output from a machine learning algorithm trained to learn a music characteristic.
- The machine learning algorithm is specifically trained to learn a music characteristic of a work of music.
- The system then receives a MIDI track, which includes a MIDI characteristic.
- The system modifies the MIDI characteristic of the MIDI track based on the music characteristic learned by the machine learning algorithm.
- This innovation allows for the automatic modification of MIDI tracks to align with specific music characteristics.
Potential Applications:
- Music production and composition software
- Automated music editing tools
- Music analysis and classification systems
Problems Solved:
- Streamlining the process of aligning MIDI tracks with specific music characteristics
- Enhancing the efficiency of music production and editing workflows
Benefits:
- Increased productivity for music producers and composers
- Improved accuracy in aligning MIDI tracks with desired music characteristics
- Enhanced creativity and experimentation in music composition
Commercial Applications:
- Music production software development
- Music editing tool integration in digital audio workstations
- Music analysis services for music streaming platforms
Questions about the technology: 1. How does the system ensure accurate modification of the MIDI characteristic based on the music characteristic? 2. What are the potential limitations of using machine learning algorithms for music analysis and modification?
Original Abstract Submitted
A system receives output from a machine learning algorithm. The machine learning algorithm was trained to learn a music characteristic of work of music. The system then receives a musical instrument digital interface (MIDI) track. The MIDI track includes a MIDI characteristic of the MIDI track. The system finally modifies the MIDI characteristic of the MIDI track as a function of the music characteristic of the work of music.
