Voice Analysis Device for Mental Disease Estimation
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Solution Overview
Problem
Existing voice analysis technologies face challenges in accurately estimating mental/nervous system diseases like major depression and bipolar disorder due to environmental acoustic disturbances and the lack of effective biomarkers, leading to inaccurate diagnoses and difficulty in discriminating between these conditions.
Innovation Solution
A device and method that extract acoustic feature amounts independent of the recording environment, using a combination of first and second acoustic feature amounts to calculate prediction values for estimating mental/nervous system diseases, specifically distinguishing between major depression and bipolar disorder through voice analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If voice analysis is performed in a general room environment, then the device can be used conveniently in various locations, but acoustic disturbances from walls, floors, and ceilings alter the acoustic feature amount and degrade estimation accuracy
Solution Approach 1:
The patent extracts and removes the environmental acoustic characteristics (reflections from walls, floors, ceilings) from the voice signal processing pipeline by focusing only on acoustic feature amounts that do not change with recording environment, thereby isolating the disease-related acoustic features from environmental noise
Solution Approach 2:
The patent identifies and utilizes specific local acoustic features (acoustic feature amounts that remain constant across different environments) while ignoring other features that are sensitive to environmental changes, applying different processing qualities to different feature types
2Device complexity
If traditional voice analysis methods are used, then the processing is simple, but the accuracy of discriminating between major depression and bipolar disorder is insufficient due to lack of effective biomarkers
Solution Approach 1:
The patent changes the parameters being analyzed by selecting specific acoustic feature amounts that have been proven to differ between major depression and bipolar disorder patients, transforming the analysis from general voice characteristics to disease-specific acoustic parameters
Data Source
AI summary
It is an object to provide a device for estimating a plurality of mental/nervous system diseases by the voice analysis, the device being capable of estimating either major depression or bipolar disorder. Furthermore, there are provided an estimation device including an extraction means for extracting an acoustic feature amount that is not affected by a location where voices are acquired, and a method for operating the estimation device.


