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Prediction of User Emotion and Dialogue Success Using Audio Spectrograms and Convolutional Neural Networks
Athanasios Lykartsis
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Margarita Kotti
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Paper Details:
Month: September
Year: 2019
Location: Stockholm, Sweden
Venue:
WS |
SIG: SIGDIAL
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Field Of Study
Linguistic Trends
Discourse
Task
Information Retrieval
Emotion Detection
ASR
Approach
Deep Learning
Dataset
Spoken Dialog