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Development of an SVM-based Depression Detection Model usin..:
, In:
2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)
,
Maheshwar., V
;
Venu Gopal., N
;
Naveen Kumar., V
.. - p. 808-814 , 2023
Link:
https://doi.org/10.1109/ICSCSS57650.2023.10169770
RT T1 <cTitle>2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)</cTitle>: T1 <Title>Development of an SVM-based Depression Detection Model using MFCC Feature Extraction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10169770&Exemplar=1&LAN=DE A1 Maheshwar., V A1 Venu Gopal., N A1 Naveen Kumar., V A1 Pranavi., D A1 Padma Sai., Y YR 2023 K1 Support vector machines K1 Speech analysis K1 Soft sensors K1 Writing K1 Depression K1 Feature extraction K1 Natural language processing K1 Mel-Frequency Cepstral Coefficient (MFCC) K1 Speaker diarization K1 Natural Language Processing (NLP) K1 Machine Learning SP 808 OP 814 LK http://dx.doi.org/https://doi.org/10.1109/ICSCSS57650.2023.10169770 DO https://doi.org/10.1109/ICSCSS57650.2023.10169770 SF ELIB - SuUB Bremen
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