Depression automatic assessment system and method based on speech features and machine learning
A speech feature and machine learning technology, applied in sensors, medical science, psychological devices, etc., can solve problems such as lack of diagnosis and curative effect evaluation, difficulty in identifying emotional disorders, and patients losing opportunities for treatment, etc.
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[0028] Embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.
[0029] figure 1 It is a schematic diagram of the general framework of the system of the present invention. An automatic evaluation system for depression based on speech features and machine learning, including (a) a voice collection and recording module, which is used to record the voice information of the subject while stimulating the subject with different emotional corpus; (b ) voice feature calculation module, used to calculate the acoustic features of voice after preprocessing the voice signal collected; (c) voice database module, including the correlation data used for voice feature validity analysis, classifier training optimization, and system classification rate data; (d) the machine learning module, which uses the data of the speech database to carry out the correlation analysis between speech features and depression, so as to determ...
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