Audio Sensing Device Resonator Time Frame Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current audio signal processing methods face a high computational burden due to Fourier transformation and struggle to simultaneously improve time and frequency resolving powers.
Innovation Solution
An audio sensing device with multiple resonators, each having different frequency bands, sets time frames independently for each resonator with varying time intervals to optimize sound feature calculation, allowing for high-resolution audio information extraction without increasing data volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Fourier transformation is used to obtain frequency domain information, then frequency information can be acquired, but computational burden increases significantly
Solution Approach 1:
The audio sensing device segments the audio signal processing into multiple frequency bands using separate resonators. Each resonator is tuned to a specific frequency band and directly outputs frequency-domain information for that band, eliminating the need for comprehensive Fourier transformation of the entire signal. This segmentation approach maintains frequency information accuracy while significantly reducing computational complexity.
Solution Approach 2:
The patent replaces the computational Fourier transformation process with a physical resonance-based frequency analysis system. Mechanical resonators naturally respond to specific frequency bands through resonance, directly providing frequency domain information without requiring digital signal processing. This substitution of mechanical/physical analysis for computational analysis resolves the contradiction between obtaining frequency information and reducing computational burden.
2Measurement precision
If time frames are set uniformly for all resonators, then processing is simplified, but resolution of audio information cannot be optimized across different frequency bands
Solution Approach 1:
The patent applies local quality by configuring different time frame parameters for different frequency bands. Each resonator's time frames are optimized according to its specific frequency characteristics - lower frequency bands use longer time frames for better frequency resolution, while higher frequency bands use shorter time frames for better time resolution. This localized optimization of processing parameters maintains audio information resolution without requiring uniform complex configuration across all bands.
Solution Approach 2:
The system dynamically adjusts time frame parameters based on the frequency band being processed. Rather than using static uniform time frames, the patent implements dynamic time frame configuration where the duration and spacing of time frames adapt to the specific frequency characteristics of each resonator. This dynamic approach optimizes resolution for each frequency band while managing processing complexity through adaptive parameter selection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces the computational load and enhances the resolution of audio information by adjusting time frames according to frequency bands, achieving efficient signal processing.
Implementation Method 1
The sensor portion may include a piezoelectric layer
Implementation Method 2
a plurality of resonators, at least some of the plurality of resonators having different frequency bands
Data Source
AI summary
A signal processing method of an audio sensing device is provided. The audio sensing device includes a plurality of resonators, at least some of the plurality of resonators having different frequency bands. The method includes setting a plurality of time frames corresponding to the plurality of resonators, and calculating a sound feature for each of the plurality of time frames, the sound feature being calculated based on an audio signal detected by each of the plurality of the resonators, wherein the plurality of time frames are set independently for each of the frequency bands, and at least some of the plurality of time frames are set to have different time intervals.