10 citations · 20 across the 7 of their papers we have counts for
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eess.AS2019★ 9 cited
Deep neural networks for emotion recognition combining audio and transcripts
Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni +3
In this paper, we propose to improve emotion recognition by combining acoustic information and conversation transcripts. On the one hand, an LSTM network was used to detect emotion…
cs.CL2019
Hierarchical Transformers for Long Document Classification
Raghavendra Pappagari, Piotr Żelasko, Jesús Villalba +2
BERT, which stands for Bidirectional Encoder Representations from Transformers, is a recently introduced language representation model based upon the transfer learning paradigm. We…