What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark
Speech emotion recognition (SER) is essential for enhancing human-computer interaction in
speech-based applications. Despite improvements in specific emotional datasets, there is …
speech-based applications. Despite improvements in specific emotional datasets, there is …
Deep Learning Approaches and Security Domains in Sentiment Analysis
S Lata, N Kishore, P Sangwan - 2024 First International …, 2024 - ieeexplore.ieee.org
Sentiment recognition from voice signal is an important but challenging element of human
machine interaction. In the state of art many machine learning techniques have been utilized …
machine interaction. In the state of art many machine learning techniques have been utilized …
Cross-Corpus Speech Emotion Recognition Based on Causal Emotion Information Representation
H FU, Q LI, H TAO, C ZHU, Y XIE… - IEICE TRANSACTIONS on …, 2024 - search.ieice.org
Speech emotion recognition (SER) is a key research technology to realize the third
generation of artificial intelligence, which is widely used in human-computer interaction …
generation of artificial intelligence, which is widely used in human-computer interaction …
Deep Learning Based Bagged CNN with Whale Optimization Algorithm to Forecast the Productivity of Rice Crop using Soil Nutrients
M Chandraprabha, RK Dhanaraj - … International Conference on …, 2023 - ieeexplore.ieee.org
Soil nutrients plays a major role in the growth of crop and yield of crop. Traditional methods
in agriculture failed to produce high yield due to global warming and chemical fertilizers …
in agriculture failed to produce high yield due to global warming and chemical fertilizers …
A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition
Z Sharifzadeh Jafari, S Seyedin - AUT Journal of Electrical Engineering, 2024 - eej.aut.ac.ir
Recognizing the emotions from speech signals is very important in different applications of
human-computer-interaction (HCI). In this paper, we present a novel model for speech …
human-computer-interaction (HCI). In this paper, we present a novel model for speech …
Multi-Model Emotion Recognition from voice, face, and text sources using optimized Equivariant Quantum Dense Nested Neural Networks
K Murugesan, S Sivakumar, J Venkatesh… - Library Progress …, 2024 - bpasjournals.com
Abstract The term Emotion Recognition (ER) is used for the Recognition and comprehension
of human emotions have become essential aspects of technological progress in today's fast …
of human emotions have become essential aspects of technological progress in today's fast …