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What is Emotion-Resilient Language Identification about?

This document proposes using a Recurrent Convolutional Neural Network (RCNN) with multi-stage training to improve the performance of language identification systems under emotional conditions. The RCNN architecture applies convolutional operations iteratively over time steps, unlike traditional RNNs. A multi-stage training approach is also proposed, which uses both cross-entropy loss and triplet loss functions to optimize the network. This combination of RCNN architecture and multi-stage training outperform

Author

Samay Patel

Language

EN