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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Depression detection using Face, Text and Audio |
| Authors Name: | Gitanjali Tukaram Gadakh , Kavita Sawant , Pooja jagtap , Snehal Avhad , Pooja Shinde |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_197248
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| Published Paper Id: | IJNRD2305789 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Depression is a serious illness that affects millions of people globally. From child to senior citizens are facing depression. Major area is occupied by adults, college going students and teenagers also. In recent years, the task of automatic depression detection from speech has gained popularity. However, several challenges remain, including which features provide the best discrimination between classes or depression levels. We provide a comparative analyses of various features for depression detection. Using the same corpus, we evaluate how a system built on text-based, audio- based and speech-based system. We find that a combination of features drawn from both speech and text lead to the best system performance. By doing a survey we have find most efficient algorithms for detection purpose. We have used CNN (Convolutional Neural Network) for Face images training, for Face recognition we have used Harr Cascade Algorithm. To detect depression using Text ,we have used SVM(Support Vector Machine) Algorithm. Lastly for Audio input, we have used MFCC for speech recognition. |
| Keywords: | Machine Learning, Face detection, Image preprocessing, segmentation, extraction, CNN, SVM, MFCC, Depression detection |
| Cite Article: | "Depression detection using Face, Text and Audio", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.h672-h680, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305789.pdf |
| Downloads: | 000118753 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305789 Registration ID: 197248 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: h672-h680 Country: Pune, Maharastra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305789 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305789 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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