Audio Analysis System Timbre Rhythm Pattern Matching
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Solution Overview
Problem
Users face difficulty in finding patterns with specific timbres in audio signals, requiring considerable effort and musical knowledge, making it challenging to create or practice music effectively.
Innovation Solution
An audio analysis system that receives a target timbre instruction, acquires an audio signal with multiple timbres, and selects reference signals with similar intensity changes represented by reference rhythm patterns, matching the analysis rhythm pattern of the target timbre, to facilitate easier music creation and practice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user manually searches for patterns with specific timbres in audio signals, then the user can find suitable patterns for music creation, but considerable effort and musical knowledge are required
Solution Approach 1:
The system automatically analyzes audio signals and extracts rhythm patterns without requiring user intervention. The audio analyzing device performs self-service by autonomously identifying and presenting suitable rhythm patterns that match the target timbre, eliminating the need for manual searching and musical knowledge.
Solution Approach 2:
The manual mechanical process of listening to and analyzing audio signals is replaced by an automated electronic system. The audio analyzing device uses signal processing and pattern recognition algorithms to automatically identify rhythm patterns, substituting the human user's manual analysis with an automated computational system.
2Measurement precision
If the system provides detailed audio analysis, then the accuracy of rhythm pattern identification improves, but the complexity of the system increases
Solution Approach 1:
The audio analysis process is divided into distinct functional modules: audio signal input, timbre analysis, rhythm pattern extraction, and pattern matching. Each module performs a specific function, allowing the system to achieve high accuracy through specialized processing while managing complexity through modular design.
Solution Approach 2:
The system introduces intermediate processing steps including timbre extraction as a mediator between the raw audio signal and rhythm pattern identification. This intermediary analysis of timbre characteristics enables more accurate rhythm pattern matching while organizing the complexity into manageable sequential stages.
Data Source
AI summary
An audio analysis system includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: receive an instruction indicative of a target timbre; acquire a first audio signal containing a plurality of audio components corresponding to different timbres; and select at least one reference signal from among a plurality of reference signals respectively representative of different pieces of audio based on the target timbre and the first audio signal, in which: the at least one reference signal has an intensity with a temporal change, the temporal change in the intensity of the at least one reference signal is represented by a reference rhythm pattern, the plurality of audio components include audio components corresponding to the target timbre, the audio components corresponding to the target timbre have an intensity with a temporal change, the temporal change in the intensity of the audio components corresponding to the target timbre is represented by an analysis rhythm pattern, and the reference rhythm pattern is similar to the analysis rhythm pattern.