Tone Data Search Using Acoustic Query Patterns
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Solution Overview
Problem
Existing automatic accompaniment systems require significant time and labor to search for desired sound data sets, and users must input specific keywords, making it difficult to intuitively find matching sound generation patterns.
Innovation Solution
A tone data processing apparatus that identifies user operation styles to determine search-object performance parts and searches for sound data sets with matching sound generation patterns, allowing users to input query patterns intuitively through sensory operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional keyword search methods are used to search for automatic accompaniment data sets, then users can search using specific keywords like music piece name, artist name, and genre, but users must know and input these keywords in advance, requiring considerable time and labor, and cannot search intuitively
Solution Approach 1:
The patent replaces traditional mechanical keyword input methods with acoustic signal recognition. Users can search by playing a melody or rhythm on a musical instrument, and the system automatically converts the acoustic signal into search queries, eliminating the need for users to manually input keywords or know specific terminology.
Solution Approach 2:
The system automatically analyzes the acoustic signal to extract musical features such as rhythm, melody, and tempo, then generates search queries without requiring user intervention for keyword selection. The system serves itself by automatically interpreting the user's musical input into appropriate search parameters.
2Measurement precision
If traditional search methods require users to input specific keywords, then search results can be precise, but users cannot search for sound patterns intuitively without knowing the correct terminology
Solution Approach 1:
The patent substitutes manual keyword entry with acoustic signal processing. The system captures the user's musical performance as an audio signal, analyzes its temporal and spectral characteristics, and automatically generates search queries that preserve the intended musical pattern, achieving both accuracy and intuitiveness.
Solution Approach 2:
The acoustic signal serves as an intermediary between the user's intuitive musical expression and the database search system. The system transcribes the acoustic signal into structured search parameters, acting as a mediator that translates between human musical intuition and machine search requirements.
3Adaptability or versatility
If users search for specific performance parts like bass or drum phrases, then search results can be targeted, but existing methods do not allow searching by phrases of particular performance parts
Solution Approach 1:
The patent replaces text-based search with acoustic pattern recognition. Users can play phrases corresponding to any performance part (bass, drum, keyboard), and the system identifies the temporal and spectral characteristics of the acoustic signal to automatically search for matching patterns in the corresponding performance part, enabling versatile and flexible searching.
Data Source
AI summary
A user inputs, as a query pattern, a desired search-object rhythm pattern by operating a rhythm input device. At that time, a determination is made of a style of operation performed by a user on a rhythm input device, such as whether the user has operated a single key or a plurality of keys, or duration or intensity of the operation, and then, a user-intended performance part is identified, on the basis of the determined style of operation, from among one or more performance parts constituting a performance data set (automatic accompaniment data set). For the thus-identified performance part, a rhythm pattern search section searches an automatic accompaniment database for an automatic accompaniment data set including a rhythm pattern that matches the input rhythm pattern (query pattern).