Biological Sound Analysis Using Temporal Correlation for Noise Detection
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Solution Overview
Problem
Existing biological sound analyzing technologies face reduced detection accuracy due to individual differences and environmental influences, leading to inaccurate detection of continuous sounds in biological sounds after FFT processing.
Innovation Solution
A biological sound analyzing apparatus and method that enhances noise information through processes like cepstral mean normalization and liftering, calculates correlation information between adjacent periods, and outputs continuous noise information based on this correlation, improving detection accuracy by emphasizing temporal continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If peak detection on spectrum is used to detect continuous sounds, then the detection method is simple, but detection accuracy is reduced due to individual differences and environmental influences
Solution Approach 1:
The invention changes the detection parameter from peak amplitude to correlation coefficient. By calculating the correlation between adjacent time windows and analyzing the temporal continuity of correlation coefficients, the system can accurately detect continuous sounds regardless of individual differences or environmental factors, thus improving detection accuracy while maintaining operational simplicity
Solution Approach 2:
The invention utilizes the continuous temporal characteristic of continuous sounds by calculating correlation coefficients between adjacent time windows. This continuous analysis approach captures the persistent nature of continuous sounds, allowing accurate detection even when peak characteristics vary, thereby resolving the contradiction between simplicity and accuracy
2Productivity
If only peak information is used for detection, then the processing is fast, but detection accuracy is reduced because peaks do not appear equally in continuous sounds
Solution Approach 1:
The invention transitions from one-dimensional peak amplitude analysis to two-dimensional analysis by introducing temporal correlation. By examining the correlation coefficients across multiple adjacent time windows, the system adds a temporal dimension that captures the continuous nature of the sounds, improving accuracy without significantly impacting processing speed
Solution Approach 2:
The system uses correlation coefficients as feedback to determine the presence of continuous sounds. By continuously calculating and comparing correlation coefficients between adjacent windows, the system can reliably identify continuous sounds based on their persistent temporal pattern, resolving the accuracy issue while maintaining efficient processing
Data Source
AI summary
A biological sound analyzing apparatus is provided with: an obtaining device configured to obtain first biological sound information, which indicates a change in biological sounds with time; a processing device configured to generate second biological sound information by performing a first process of enhancing first noise information, which indicates noise included in the biological sounds, on the first biological sound information; a calculating device configured to calculate correlation information, which indicates a correlation in adjacent periods of the second biological sound information; and an outputting device configured to output second noise information, which indicates continuous noise included in the biological sounds, on the basis of the correlation coefficient. This makes it possible to analyze continuous noise included in the obtained biological sounds.