Synchronizing Digital Scores with Expressive Audio via Cross-Correlation
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Solution Overview
Problem
Current music notation systems can only synchronize audio playback with automatically generated digital scores, resulting in robotic and lifeless renderings that fail to accurately represent the music, limiting the ability to synchronize playback with more expressive human performances.
Innovation Solution
A method is developed to synchronize a digital musical score with an alternate audio rendering by generating a temporal mapping of score events to their occurrences in an expressive audio recording, using cross-correlation to align subclips of synthesized and alternate audio renderings, allowing for accurate display of playback location within the score during human performance playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If synchronized playback is implemented with automatically generated digital score renderings, then playback position synchronization is achieved, but the audio rendering sounds robotic and lifeless
Solution Approach 1:
The patent uses cross-correlation analysis as an intermediary technique to compare the automatically generated rendering with the human performance recording. This mediator identifies temporal offsets and aligns the score display with the expressive rendering without requiring the system to choose between robotic automation and human expression.
2Object-generated harmful factors
If synchronized playback is extended to human performance recordings, then expressive and musically interpreted audio rendering is achieved, but temporal alignment between score events and audio occurrences becomes complex
Solution Approach 1:
The patent segments the audio rendering into subclips corresponding to individual score events. By processing each event separately and calculating temporal offsets for each segment, the system manages the complexity of aligning expressive human performance with the structured score notation.
Solution Approach 2:
The patent replaces manual temporal alignment methods with automated cross-correlation analysis. This computational approach substitutes complex manual timing adjustments with an algorithmic solution that automatically identifies optimal temporal offsets between score events and audio occurrences.
3Measurement precision
If cross-correlation analysis is performed on entire audio renderings, then accurate temporal mapping is achieved, but processing time and computational resources increase significantly
Solution Approach 1:
The patent divides the entire audio rendering into smaller subclips, each corresponding to a specific score event. This segmentation reduces the computational burden of cross-correlation analysis by processing smaller segments independently, thereby maintaining temporal accuracy while reducing overall processing time.
Solution Approach 2:
The patent performs cross-correlation analysis only on relevant subclips surrounding each score event rather than analyzing the entire audio rendering. This partial action approach focuses computational resources on critical segments, achieving necessary temporal precision without excessive processing of unrelated audio portions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables synchronized playback between a digital musical score and a human performance, enhancing the musical experience by aligning the score display with the expressive tempo and dynamics of the alternate audio rendering, providing a more authentic representation of the music.
Implementation Method 1
determining an adjusted temporal offset of the subclip of the synthesized audio for which a cross-correlation between the subclip of the synthesized audio rendering and the subclip of the alternate audio rendering is maximized
Data Source
AI summary
Playback of a graphical representation of a digital musical score is synchronized with an expressive audio rendering of the score that contains tempo and dynamics beyond those specified in the score. The method involves determining a set of offsets for occurrences of score events in the audio rendering by comparing and temporally aligning audio waveforms of successive subclips of the audio rendering with corresponding audio waveforms of successive subclips of an audio rendering synthesized directly from the score. Tempos and dynamics of human performances may be extracted and used to generate expressive renderings synthesized from the corresponding digital score. This enables parties who wish to distribute or share music scores, such as composers and publishers, to allow prospective licensors to evaluate the score by listening to an expressive musical recording instead of a mechanically synthesized rendering.