Cross-lingual cross-age group adaptation for low-resource elderly speech emotion recognition

S Cahyawijaya, H Lovenia, W Chung, R Frieske… - arXiv preprint arXiv …, 2023 - arxiv.org
Speech emotion recognition plays a crucial role in human-computer interactions. However,
most speech emotion recognition research is biased toward English-speaking adults, which …

CAiRE in DialDoc21: Data augmentation for information seeking dialogue system

Y Xu, E Ishii, GI Winata, Z Lin, A Madotto… - Proceedings of the …, 2021 - aclanthology.org
Abstract Information-seeking dialogue systems, including knowledge identification and
response generation, aim to respond to users with fluent, coherent, and informative …

[PDF][PDF] Improving Empathetic Response Generation with Retrieval based on Emotion Recognition

Y Fu, K Inoue, D Lala, K Yamamoto… - Proc. Int'l Workshop …, 2023 - sap.ist.i.kyoto-u.ac.jp
Endowing a robot with the ability to express empathy is crucial for building a human-like
dialogue system. We propose to improve empathetic response generation with retrieval …

Infusing behavior science into large language models for activity coaching

M Vardhan, N Hegde, D Nathani, E Rosenzweig… - medRxiv, 2023 - medrxiv.org
Large language models (LLMs) have shown promise for task-oriented dialogue across a
range of domains. The use of LLMs in health and fitness coaching is under-explored …

CAiRE in DialDoc21: Data Augmentation for Information-Seeking Dialogue System

E Ishii, Y Xu, GI Winata, Z Lin, A Madotto, Z Liu… - arXiv preprint arXiv …, 2021 - arxiv.org
Information-seeking dialogue systems, including knowledge identification and response
generation, aim to respond to users with fluent, coherent, and informative responses based …