Speech emotion recognition and text sentiment analysis for financial distress prediction
P Hajek, M Munk - Neural Computing and Applications, 2023 - Springer
In recent years, there has been an increasing interest in text sentiment analysis and speech
emotion recognition in finance due to their potential to capture the intentions and opinions of …
emotion recognition in finance due to their potential to capture the intentions and opinions of …
SERVER: Multi-modal speech emotion recognition using transformer-based and vision-based embeddings
This paper proposes a multi-modal approach for speech emotion recognition (SER) using
both text and audio inputs. The audio embedding is extracted by using a vision-based …
both text and audio inputs. The audio embedding is extracted by using a vision-based …
An enhanced speech emotion recognition using vision transformer
In human–computer interaction systems, speech emotion recognition (SER) plays a crucial
role because it enables computers to understand and react to users' emotions. In the past …
role because it enables computers to understand and react to users' emotions. In the past …
Emotion Recognition and Management in the Tourism Industry During Emergency Events Using Improved Convolutional Neural Network
H Qi, Z Han - IEEE Access, 2024 - ieeexplore.ieee.org
The purpose is to optimize emotion recognition capabilities in the tourism industry during
emergency events and enhance management efficiency. Hence, based on the principles of …
emergency events and enhance management efficiency. Hence, based on the principles of …
DSA-MFNet: Deep-shallow Attention based Multi-frame Fusion Network for EEG motor imagery classification
H Li, X Zhang, Y Wan, X Zhang - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
One of the most prevalent brain-computer interface (BCI) paradigms is the
Electroencephalogram (EEG) motor imagery (MI). It has found extensive applications in …
Electroencephalogram (EEG) motor imagery (MI). It has found extensive applications in …
Predicting Stock Prices in the Iranian Stock Market Using Convolutional Neural Network Optimization
MM Asl, M Kolahkaj - 2023 - researchsquare.com
One of the ways to assist investors in the stock market is by providing innovative patterns for
predicting stock prices. Stock price information is a crucial metric that shareholders consider …
predicting stock prices. Stock price information is a crucial metric that shareholders consider …
Speech Emotion Recognition for Electricity Customer Service Based on CBGRU and Multihead Self-Attention Mechanism
H Jun, Y KuiDong, R FangXi - 2023 2nd International …, 2023 - ieeexplore.ieee.org
This paper proposes a CBGRU-based speech emotion recognition model with a multi-
headed self-attentive mechanism to address issues such as long training times, insufficient …
headed self-attentive mechanism to address issues such as long training times, insufficient …