Speaker identification from emotional and noisy speech using learned voice segregation and speech VGG

S Hamsa, I Shahin, Y Iraqi, E Damiani, AB Nassif… - Expert Systems with …, 2023 - Elsevier
Speech signals are more susceptible to emotional influences and acoustic interference than
other communications. Applications for real-time speech processing face difficulties when …

TNTC: Two-stream network with transformer-based complementarity for gait-based emotion recognition

C Hu, W Sheng, B Dong, X Li - ICASSP 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Recognizing the human emotion automatically from visual characteristics plays a vital role in
many intelligent applications. Recently, gait-based emotion recognition, especially gait …

Design of Improved Artificial Intelligence Generative Dialogue Algorithm and Dialogue System Model Based on Knowledge Graph

Y Guo - IEEE Access, 2024 - ieeexplore.ieee.org
Dialogue systems are an important research direction in artificial intelligence, with broad
application prospects and market value. In order to improve system efficiency and user …

Emotional conversation generation with bilingual interactive decoding

J Wang, X Sun, M Wang - IEEE Transactions on Computational …, 2021 - ieeexplore.ieee.org
The perception and expression of emotion, as well as the content of a text, are key factors in
the success of conversational agents. However, previous models for conversation …

SAEP: A surrounding-aware individual emotion prediction model combined with T-LSTM and memory attention mechanism

Y Wang, Y Du, J Hu, X Li, X Chen - Applied Sciences, 2021 - mdpi.com
The future emotion prediction of users on social media has been attracting increasing
attention from academics. Previous studies on predicting future emotion have focused on the …

A Topic-Enhanced Approach for Emotion Distribution Forecasting in Conversations

X Lu, W Zhao, Y Zhao, B Qin, Z Zhang… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
Emotion Forecasting in Conversations (EFC), the task aims to predict the emotion of next
utterance (yet to come), has received more and more attention in recent years. However, this …

Speaker Identification from emotional and noisy speech data using learned voice segregation and Speech VGG

S Hamsa, I Shahin, Y Iraqi, E Damiani… - ar** Mechanism
Y Jiang, X Sun, J Wang - Proceedings of the 2023 6th International …, 2023 - dl.acm.org
Emotion analysis in conversation has been a popular research topic in the natural language
processing field. While much of the existing research has focused on emotion recognition in …