Download Report IEEE DataPort : DETECTION OF DEPRESSION IN SPEECH PROJECT REPORT - 2026
PDF by Kamal Acharya
Information
Format: PDF Publisher: IEEE DataPort Publication Date of the Electronic Edition: 02/16/2026
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ISBN: 10.21227/jphj-4e05
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Description
Depression is a common mental disorder and one of the main causes of disability worldwide. Lackingobjective depressive disorder assessment methods is the key reason that many depressive patients can't betreated properly. Developments in affective sensing technology with a focus on acoustic features willpotentially bring a change due to depressed patient's slow, hesitating, monotonous voice as remarkablecharacteristics. Our motivation is to find out a speech feature set to detect, evaluate and even predictdepression. For these goals, we investigate a large sample of 300 subjects (100 depressed patients, 100healthy controls and 100 high-risk people) through comparative analysis and follow-up study. Forexamining the correlation between depression and speech, we extract features as many as possible accordingto previous research to create a large voice feature set. Then we employ some feature selection methods toeliminate irrelevant, redundant and noisy features to form a compact subset. To measure effectiveness of thisnew subset, we test it on our dataset with 300 subjects using several common classifiers and 10-fold cross-validation. Since we are collecting data currently, we have no result to report yet.In this project we are detecting depression from users post,user can upload post in the form of text file,imagefile, or audio file,this project an help peoplewho are in depression by sending motivated messages tothem.Now-a-days peoples are using online post service to interact with each other compare to human tohuman interaction.So by analysinguser post this application can detect depression and send motivationmessages to them.Administrator of this application will send motivation messages to all people who aredepression.To detect depression we are using SVM (support vector machine)algorithm which analyse userspost and give result as negative or positive.If users express depression words in post then SVM detect it as anegative post else positive post.
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