Frequency Band Selection for Media Source Detection
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Solution Overview
Problem
Existing media monitoring systems face challenges in accurately detecting the active media source due to ambient noise degrading the audio signal, leading to reduced detection accuracy.
Innovation Solution
The implementation of frequency band selection and processing techniques, which involve determining trending coefficients for audio signals from both media sources and the monitored media device, selecting subsets of frequency bands with matching directions, and processing these bands to identify the active media source.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency band selection and processing techniques are implemented, then media source detection accuracy is improved, but device complexity increases
Solution Approach 1:
The audio signal is divided into multiple frequency bands, and trending coefficients are calculated separately for each band. This segmentation allows the system to identify frequency bands with consistent trends between media sources and media devices, thereby improving detection accuracy while managing processing complexity through targeted analysis of specific frequency ranges rather than the entire spectrum.
2Measurement precision
If frequency band selection and processing techniques are implemented, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The system extracts and selects only those frequency bands that exhibit matching trends between media sources and media devices, discarding frequency bands with inconsistent or noisy trends. This extraction approach reduces the amount of data requiring detailed processing while maintaining detection accuracy, thereby mitigating the increase in processing time.
3Reliability
If ambient noise mitigation techniques are applied, then detection reliability is improved, but computational requirements increase
Solution Approach 1:
The system applies noise mitigation selectively to frequency bands that show consistent trends and are relevant for media source detection, rather than uniformly processing the entire audio spectrum. This localized approach improves detection reliability by focusing computational resources on the most informative frequency regions while reducing overall energy consumption.
Data Source
AI summary
Example methods, apparatus and articles of manufacture (i.e., physical storage media) to perform media source detection based on frequency band selection and processing are disclosed. Example meters disclosed herein are to compare a first audio signal from a monitored media device with a second audio signal from a first one of a plurality of media sources in communication with the monitored media device to determine a sequence of match results, the first audio signal associated with media presented by the media device. Disclosed example meters are also to compute a standard deviation of time delays associated with respective ones of the match results. Disclosed example meters are further to determine whether the first one of the media sources is a source of the media presented by the monitored media device based on the standard deviation.