Electronic Keyboard Playing Style Selection via Temporal Probability
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Solution Overview
Problem
Existing electronic keyboard musical instruments lack the ability to naturally replicate the playing styles of plucked string instruments, such as glissando, hammer-on, and pull-off, due to limitations in generating sounds with special playing techniques, especially when transitioning between notes.
Innovation Solution
An information processing device with a control unit that acquires and analyzes parameters like elapsed time and key press information to determine the probability of generating sounds with specific playing styles, using random numbers to select between normal and special playing styles like glissando, hammer-on, and pull-off, ensuring a natural performance-like sound generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional key-based playing style selection is used, then playing style can be selected, but the sound generation lacks naturalness and realism of plucked string instruments
Solution Approach 1:
The system automatically determines playing style by analyzing temporal relationships between consecutive notes, eliminating the need for manual selection. The control unit autonomously calculates elapsed time and selects appropriate playing styles (glissando, hammer-on, pull-off) based on detected patterns, making the system self-serve the naturalness requirement without adding operational complexity
Solution Approach 2:
The system uses feedback from temporal analysis of note sequences to dynamically adjust playing style selection. By continuously monitoring elapsed time between notes and comparing it against predetermined thresholds, the system adapts its sound generation to match the natural characteristics of plucked string instruments, creating a closed-loop control that enhances realism
2Adaptability or versatility
If multiple playing styles are generated with fixed probabilities, then sound variety is achieved, but the probability distribution lacks adaptability to different musical contexts
Solution Approach 1:
The system dynamically adjusts playing style probabilities based on real-time analysis of elapsed time between consecutive notes. Instead of fixed probability distributions, the control unit modifies selection likelihoods according to the detected temporal context, enabling the system to adapt to different musical phrases and performance styles while maintaining computational simplicity through threshold-based decision logic
3Reliability
If playing style is selected based on elapsed time analysis, then natural performance-like sound is generated, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary analysis by continuously monitoring and storing elapsed time data between consecutive notes as they occur during performance. This real-time data collection enables immediate playing style determination without requiring post-processing or complex retrospective analysis, reducing computational latency while maintaining authentic sound generation
Solution Approach 2:
The system replaces complex mechanical or manual playing style selection mechanisms with electronic temporal analysis and probabilistic computation. By using digital signal processing to analyze elapsed time and determine playing styles, the system achieves authentic plucked string instrument reproduction with minimal processing overhead compared to traditional approaches
Data Source
AI summary
An information processing device includes at least one processor that executes a program stored in a memory. The processor executes processing of acquiring first information corresponding to a first musical sound and second information corresponding to a second musical sound generated after the first musical sound, acquiring a first occurrence probability, which is an occurrence probability of a special playing style with respect to an elapsed time since an end of a predetermined operation, and a second occurrence probability, which is an occurrence probability of the special playing style with respect to an elapsed time after the first musical sound is generated until the second musical sound is generated, according to the first and second information, and determining whether to generate the second musical sound with any one of a normal playing style and the special playing style, according to the first and second occurrence probability.


