31 citations · 62 across the 10 of their papers we have counts for
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cs.SD2020
End-to-end Triplet Loss based Emotion Embedding System for Speech Emotion Recognition
Puneet Kumar, Sidharth Jain, Balasubramanian Raman +2
In this paper, an end-to-end neural embedding system based on triplet loss and residual learning has been proposed for speech emotion recognition. The proposed system learns the em…
cs.SD2018
Acoustic Features Fusion using Attentive Multi-channel Deep Architecture
Gaurav Bhatt, Akshita Gupta, Aditya Arora +1
In this paper, we present a novel deep fusion architecture for audio classification tasks. The multi-channel model presented is formed using deep convolution layers where different…