56 citations · 78 across the 3 of their papers we have counts for
3 papers
Focal Loss based Residual Convolutional Neural Network for Speech Emotion Recognition
Suraj Tripathi, Abhay Kumar, Abhiram Ramesh +2
This paper proposes a Residual Convolutional Neural Network (ResNet) based on speech features and trained under Focal Loss to recognize emotion in speech. Speech features such as S…
Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions
Suraj Tripathi, Abhay Kumar, Abhiram Ramesh +2
This paper proposes a speech emotion recognition method based on speech features and speech transcriptions (text). Speech features such as Spectrogram and Mel-frequency Cepstral Co…
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition
Suraj Tripathi, Abhiram Ramesh, Abhay Kumar +2
This paper proposes a Convolutional Neural Network (CNN) inspired by Multitask Learning (MTL) and based on speech features trained under the joint supervision of softmax loss and c…