Anxiety and Stress Detection through Speech Recognition using CNN
Creators
- 1. Associate Professor, Department of Computer Science Engineering, St. Martins Engineering College, Secunderabad, Telangana.Associate Professor, Department of Computer Science Engineering, St. Martins Engineering College, Secunderabad, Telangana.Associate Professor, Department of Computer Science Engineering, St. Martins Engineering College, Secunderabad, Telangana.Associate Professor, Department of Computer Science Engineering, St. Martins Engineering College, Secunderabad, Telangana.Associate Professor, Department of Computer Science Engineering, St. Martins Engineering College, Secunderabad, Telangana.Associate Professor, Department of Computer Science Engineering, St. Martins Engineering College, Secunderabad, Telangana.Associate Professor, Department of Computer Science Engineering, St. Martins Engineering College, Secunderabad, Telangana.
Description
Stress is a feeling of emotional tension. It canhaveaninfluenceonourmentalhealth and for the people around us. While anxiety is a natural reaction tostresswhichcanbefearfulthiscanleadtopanicattacks. These mental issues have to be addressed byeveryone.Thispaperexplainshowweareusingvocal/audiodatasettodetectstressandanxietyinaperson.Wehavedevelopedastressandanxietydetection model using deep neural network. Here audiodatasets is considered from Kaggle in which the audioconsists of 7 emotions i.e., joy, fear, disgust, neutral,sadness, surprised and anger. These audio datasets areused to train and test classification models like CNN.Thentheaudioispre-processedthroughacousticfeatureextraction,classifiedthroughCNN whichprovidestheaccuracybased on those 7emotions. Bythiswecanpredictifthepersonisstressedorhasanxiety.
Files
yosepu 1.pdf
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