Automatic Performance Device Accompaniment Selection
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Solution Overview
Problem
Existing automatic accompaniment systems require users to input and select rhythm patterns manually, making the selection process complex and time-consuming.
Innovation Solution
An automatic performance device and method that estimates and outputs accompaniment sounds and effects based on user performance input, using a synthesizer with a CPU, flash ROM, RAM, and digital signal processing to analyze and combine input patterns with stored output patterns, prioritizing user evaluations to provide suitable accompaniment in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the user manually inputs rhythm patterns and selects from displayed lists, then the system can provide automatic accompaniment data, but the selection operation becomes complex and time-consuming
Solution Approach 1:
The system automatically analyzes the user's performance data and selects appropriate accompaniment patterns without requiring manual input or selection. The CPU processes performance information from the keyboard and autonomously determines matching accompaniment data, making the system self-serve the user's needs.
Solution Approach 2:
The patent replaces the mechanical interaction of manual keyboard input and list selection with an automated information processing system. The CPU analyzes performance data and automatically matches accompaniment patterns, substituting manual operational mechanics with computational processing.
2Adaptability or versatility
If the system displays a list of retrieved accompaniment data for user selection, then the user can choose desired patterns, but the selection process becomes time-consuming
Solution Approach 1:
The patent extracts only the most relevant accompaniment patterns directly from the database based on performance analysis, presenting them in order of suitability rather than displaying all possible options. This extraction of essential information eliminates the need for users to search through comprehensive lists.
Solution Approach 2:
The system performs preliminary analysis of performance data and pre-sorts accompaniment patterns by matching degree before presentation to the user. This preliminary processing of information arrangement saves user time by presenting options in optimal order rather than requiring post-retrieval selection.
Data Source
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Figure 3(a)~3(b)
AI summary
The automatic performance device includes a storage part (11b, 11c) for storing a plurality of performance patterns, a performance part (S4, S8) for playing a performance on the basis of a performance pattern stored in the storage part (11b, 11c), an input part (2) for inputting performance information through an input device that receives a performance operation of a user, and a selection part (S34) for selecting a performance pattern being a maximum likelihood estimation from the plurality of performance patterns stored in the storage part (11b, 11c) on the basis of the performance information input to the input part (2).