1 citations · 1 across the 13 of their papers we have counts for
3 papers · 1 filter
AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation
Xiyuan Gao, Shubhi Bansal, Kushaan Gowda +4
Detecting sarcasm effectively requires a nuanced understanding of context, including vocal tones and facial expressions. The progression towards multimodal computational methods in…
A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm
Zhu Li, Xiyuan Gao, Yuqing Zhang +2
This study investigates the acoustic features of sarcasm and disentangles the interplay between the propensity of an utterance being used sarcastically and the presence of prosodic…
Meta Learning Text-to-Speech Synthesis in over 7000 Languages
Florian Lux, Sarina Meyer, Lyonel Behringer +5
In this work, we take on the challenging task of building a single text-to-speech synthesis system that is capable of generating speech in over 7000 languages, many of which lack s…