9 citations · 10 across the 5 of their papers we have counts for
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eess.AS2020
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
Raghavendra Pappagari, Tianzi Wang, Jesus Villalba +2
In this work, we explore the dependencies between speaker recognition and emotion recognition. We first show that knowledge learned for speaker recognition can be reused for emotio…
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…