Accelerometer-Based Wear Noise Suppression in Media Monitoring
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Solution Overview
Problem
Conventional media monitoring devices capture wear noise along with media audio signals, leading to unnecessary generation and transmission of audio signatures, which are not usable for accurate media identification, resulting in wastage of processing resources and bandwidth.
Innovation Solution
The implementation of a media monitoring device that uses an accelerometer to detect wear noise and inhibit the generation and transmission of audio signatures when wear noise is detected, by comparing accelerometer data with historical data to identify characteristic motion patterns and determine the likelihood of wear noise occurrence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the media monitoring device continuously generates and transmits audio signatures, then the quantity of media monitoring data is increased, but the processing resources and bandwidth are wasted due to wear noise
Solution Approach 1:
The system performs preliminary analysis of accelerometer data to detect wear noise characteristics before audio signature generation. By identifying wear noise patterns in advance through accelerometer monitoring, the system prevents unnecessary audio signature processing and transmission, thereby conserving processing resources and bandwidth while maintaining monitoring efficiency.
2Reliability
If the media monitoring device captures all audio signals, then the completeness of audio recording is improved, but the accuracy of media identification deteriorates due to wear noise contamination
Solution Approach 1:
The accelerometer serves as an intermediary sensor that detects wear noise characteristics independently of the audio microphone. By using accelerometer data as a mediator to identify wear noise conditions, the system can distinguish between valid audio signals and wear noise contamination, thereby improving media identification accuracy without compromising audio recording completeness.
3Reliability
If the device filters out wear noise from audio signals, then the purity of audio signature is improved, but the device complexity increases due to additional processing requirements
Solution Approach 1:
Instead of attempting to filter wear noise from audio signals directly, the system extracts wear noise detection functionality to a separate accelerometer sensor. This extraction approach allows the audio processing pipeline to remain simple while the accelerometer independently identifies wear noise conditions, thereby improving audio signature quality without significantly increasing overall device complexity.
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 efficiency of media monitoring by reducing unnecessary processing and transmission of audio signatures, improving the accuracy of media identification by only generating and transmitting signatures for audio recordings that do not contain wear noise.
Implementation Method 1
an accelerometer to detect wear noise and inhibit the generation and transmission of audio signatures when wear noise is detected
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed for wear noise audio signature suppression. An example method disclosed herein includes generating an audio signature based on a media audio signal during a first time period, collecting acceleration data during the first time period, determining whether the acceleration data corresponds to wear noise having occurred during the first time period, and in response to determining the acceleration data corresponds to wear noise during the first time period, inhibiting transmission of the audio signature to a central facility.