Dynamic Frequency Division for Bone Conduction Audio Signal Quality
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Solution Overview
Problem
Bone conduction audio acquisition devices suffer from high-frequency attenuation due to hardware defects in the bone conduction sensor, leading to incomplete audio signals, and existing solutions with fixed frequency division points lack universality, reducing audio quality across different users.
Innovation Solution
An audio signal processing method that acquires signals from both a bone conduction sensor and a microphone, dynamically determines a frequency division value in real-time by converting the signals to the frequency domain and processing them to optimize audio output, ensuring optimal frequency division under varying user conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed frequency division point is used to separate audio signals between microphone and bone conduction sensor, then the device structure is simple, but the audio signal quality deteriorates due to poor adaptability to different users and wearing conditions
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed frequency division point to a dynamic frequency division point that automatically adjusts based on real-time signal analysis. The system continuously monitors audio signals from both the microphone and bone conduction sensor, analyzes their characteristics, and dynamically determines the optimal frequency division point adaptively matching different users and wearing conditions, thereby resolving the contradiction between structural simplicity and signal quality.
Solution Approach 2:
The patent implements parameter changes by modifying the frequency division point parameter based on signal characteristics. Instead of using a predetermined fixed value, the system calculates and adjusts the frequency division point parameter in real-time according to the actual audio signals received, enabling optimal signal separation quality while maintaining reasonable system complexity through automated parameter adaptation.
2Measurement precision
If a dynamic frequency division point is used to optimize audio signal quality, then the audio signal quality improves, but the device complexity increases due to real-time signal processing requirements
Solution Approach 1:
The patent applies self-service by enabling the system to automatically determine and adjust its own frequency division point without requiring external manual configuration or complex user input. The system independently analyzes its received signals, identifies optimal separation points, and self-adjusts the frequency division dynamically, reducing the need for additional complex control mechanisms while maintaining high signal quality.
Solution Approach 2:
The patent implements feedback by using the analyzed characteristics of audio signals from both the microphone and bone conduction sensor to continuously adjust the frequency division point. The system processes the incoming signals, evaluates their spectral characteristics, and uses this feedback information to dynamically optimize the frequency division, achieving high signal quality through adaptive feedback-driven parameter adjustment rather than complex static design.
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 enhances the quality of audio signals collected by ensuring the electronic device operates with an optimal frequency division value, improving signal quality across different wearing angles, pressures, and positions.
Implementation Method 1
Bone conduction is a sound transmission mode to covert the sound to mechanical vibration of different frequencies and transmit sound waves through human skull, bone labyrinth, inner ear lymph, spiral organ and auditory center
Implementation Method 2
The first audio signal and the second audio signal are converted from time domain signals to frequency domain signals based on Fourier transform
Data Source
AI summary
An audio signal processing method is disclosed. The method comprises the following steps: acquiring a first audio signal received by a bone conduction sensor and a second audio signal received by the microphone; determining a frequency division value according to the first audio signal and the second audio signal; and processing the first audio signal and the second audio signal according to the frequency division value to obtain an audio output signal of the electronic device. An electronic device and a computer readable storage medium are also disclosed, which achieves the effect of improving the quality of audio signals collected by the electronic device.