Vibration Noise Reduction via Transfer Function Mapping
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Solution Overview
Problem
Electronic devices often capture audio signals that are corrupted by vibration noise, particularly in environments where the device is in motion, such as action cameras mounted on bicycles or helmets, leading to reduced signal-to-noise ratio (SNR) and degraded audio quality.
Innovation Solution
The method involves obtaining audio signals with vibration noise, using motion sensor data to calculate microphone-response matched vibration data based on a transfer function, and then reducing the noise using this data, allowing for the adjustment of microphone placement to minimize noise capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion sensor data is used to reduce vibration noise, then audio quality is improved, but device complexity increases
Solution Approach 1:
A transfer function acts as an intermediary to map motion sensor data to microphone-specific vibration characteristics. This intermediary layer enables the system to use readily available motion sensor data without requiring complex direct measurements at each microphone, thus improving audio quality while limiting the increase in device complexity.
Solution Approach 2:
The system creates a virtual model of microphone vibration responses by copying and transforming motion sensor data through transfer functions. This allows the system to estimate microphone-specific vibration characteristics without physically measuring each microphone's response in real-time, reducing the need for additional hardware while maintaining audio quality.
2Measurement precision
If transfer function calibration is performed for each microphone, then vibration noise reduction accuracy is improved, but manufacturing complexity increases
Solution Approach 1:
A single motion sensor serves multiple microphones simultaneously by providing vibration data that is transformed through individual transfer functions for each microphone. This universal approach allows one sensor to support multiple microphones, improving accuracy without proportionally increasing manufacturing complexity.
Solution Approach 2:
Transfer functions are calibrated in advance during manufacturing or initialization, rather than requiring real-time calibration. This preliminary action allows the system to store pre-computed transfer functions that map motion sensor data to each microphone's characteristics, improving accuracy while simplifying the manufacturing process by separating calibration from production.
3Measurement precision
If microphones are mechanically coupled to motion sensor, then vibration noise measurement is improved, but microphone alignment precision becomes difficult
Solution Approach 1:
The system replaces the need for precise mechanical alignment between microphones and motion sensors with a computational approach using transfer functions. These transfer functions mathematically account for the mechanical coupling characteristics, allowing the system to achieve accurate vibration measurement without requiring stringent mechanical precision in the physical assembly.
Data Source
AI summary
A method for reducing vibration noise by an electronic device is described. The method includes obtaining an audio signal. The audio signal includes vibration noise. The method also includes obtaining vibration data from one or more motion sensor signals. The method further includes processing the vibration data to produce microphone-response matched vibration data based on a transfer function. The method additionally includes reducing the vibration noise based on the microphone-response matched vibration data.