Real-Time Bass Drum Extraction With Adaptive Audio Filtering
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Solution Overview
Problem
Existing audio processing methods cannot extract specific instrument sounds in real time during music reproduction, and they fail to control sound attenuation per instrument effectively.
Innovation Solution
An audio processing apparatus that uses a combination of adaptive and time-varying filters to extract specific sounds by deciding sound periods and attack positions, allowing for real-time extraction of bass drum sounds and bass sounds without preliminary analysis, using a sound period decision section, attack decision section, and particular sound extraction section.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If preliminary analysis of music data is performed to extract individual instrument sounds, then instrument-specific sound extraction is achieved, but real-time extraction during music reproduction is not possible
Solution Approach 1:
The patent applies dynamics by making the filter characteristics changeable in real-time based on detected sound parameters. The system dynamically adjusts filter cutoff frequencies and resonance based on detected attack positions and sound periods, enabling real-time instrument sound extraction without preliminary analysis. This resolves the contradiction by transforming static filter settings into dynamic, adaptive filter characteristics that respond to incoming audio signals.
Solution Approach 2:
The patent changes filter parameters (cutoff frequency, resonance, extraction rate) based on detected sound characteristics such as attack positions and sound periods. By continuously adjusting these parameters according to real-time sound analysis, the system achieves precise instrument sound extraction without requiring preliminary music data analysis, thus maintaining real-time processing capability while improving extraction precision.
2Productivity
If an isolator is used to control sound levels, then real-time sound control is achieved, but per-instrument attenuation control is not possible
Solution Approach 1:
The patent segments the audio spectrum into different frequency bands corresponding to different instrument types (e.g., bass drum, bass, mid-range, high-frequency sounds). By applying separate filter characteristics to each frequency band and controlling them independently, the system achieves per-instrument attenuation control while maintaining real-time processing capability. This segmentation allows selective control of specific instrument sounds without affecting others.
Solution Approach 2:
The patent applies different filter characteristics and control parameters to different frequency bands and instrument types. Each instrument category receives customized filter treatment (e.g., different cutoff frequencies, resonance levels, and extraction rates) based on its specific acoustic characteristics. This local quality approach enables precise per-instrument control while maintaining overall real-time sound control efficiency.
3Device complexity
If a fixed filter characteristic is used for sound extraction, then processing simplicity is maintained, but accurate extraction of varying instrument sounds is not achieved
Solution Approach 1:
The patent implements dynamic filter characteristics that automatically adjust based on detected sound parameters such as attack positions and sound periods. The system transitions from static filter settings to dynamic, adaptive filtering where cutoff frequencies, resonance, and extraction rates change in response to real-time sound analysis. This maintains processing simplicity while dramatically improving sound extraction accuracy for different instruments.
Data Source
AI summary
The disclosed apparatus extracts particular instrument sounds included in music in real time during music reproduction. The audio processing section 12 has an attack decision section 42 that decides attack positions of the bass drum sounds in audio signals, a bass drum sounds decision section 43 that decides sound periods of the bass drum in the audio signals, and a bass drum sounds extraction section 44 that extracts bass drum sounds using a time varying type filter for the attack positions and an adaptive type filter for the sound periods.