Cross-Corpus Multilingual Speech Emotion Recognition: Amharic vs. Other Languages
In a conventional speech emotion recognition (SER) task, a classifier for a given language is
trained on a pre-existing dataset for that same language. However, where training data for a …
trained on a pre-existing dataset for that same language. However, where training data for a …
Cross-lingual deep learning model for gender-based emotion detection
In real-world applications, speech recognition is becoming increasingly popular. Human
emotion and automatic gender recognition, which aims to identify male and female voices …
emotion and automatic gender recognition, which aims to identify male and female voices …
Optimized cross-corpus speech emotion recognition framework based on normalized 1D convolutional neural network with data augmentation and feature selection
N Barsainyan, DK Singh - International Journal of Speech Technology, 2023 - Springer
Human–computer interaction (HCI) improved via voice detection of emotions. Speech
Emotion Recognition (SER) software typically detects the appearance of various feelings in …
Emotion Recognition (SER) software typically detects the appearance of various feelings in …
Speech emotion recognition using feature fusion: a hybrid approach to deep learning
WA Khan, H ul Qudous, AA Farhan - Multimedia Tools and Applications, 2024 - Springer
Speech emotion recognition holds significant importance as it enables machines to
understand and respond to human emotions, enhancing human-computer interaction and …
understand and respond to human emotions, enhancing human-computer interaction and …
An improved convolutional neural network for speech emotion recognition
The speech emotion recognition is a challenging and an exigent task in the field of data
science. Existing studies have only focused on one-dimensional Convolutional Neural …
science. Existing studies have only focused on one-dimensional Convolutional Neural …
Robust speech emotion recognition for sindhi language based on deep convolutional neural network
Speech emotion recognition (SER) is a challenging task since the expression of emotions is
distinct in different languages. This paper proposes a robust SER approach that focuses on …
distinct in different languages. This paper proposes a robust SER approach that focuses on …
Urdu Speech Emotion Recognition: A systematic Literature Review
Research on Speech Emotion Recognition is becoming more mature day by day, and a lot
of research is being carried out on Speech Emotion Recognition in resource-rich languages …
of research is being carried out on Speech Emotion Recognition in resource-rich languages …
Novel speech-based emotion climate recognition in peers' conversations incorporating affect dynamics and temporal convolutional neural networks
Peers' conversation provides a domain of rich emotional information, conveyed not just
through facial expressions and gestures, but also through their speech itself. This ongoing …
through facial expressions and gestures, but also through their speech itself. This ongoing …
Gender-aware speech emotion recognition in multiple languages
M Nicolini, S Ntalampiras - International Conference on Pattern …, 2023 - Springer
This article presents a solution for Speech Emotion Recognition (SER) in multilingual setting
using a hierarchical approach. The approach involves two levels, the first level identifies the …
using a hierarchical approach. The approach involves two levels, the first level identifies the …
EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark
Speech emotion recognition (SER) is an important part of human-computer interaction,
receiving extensive attention from both industry and academia. However, the current …
receiving extensive attention from both industry and academia. However, the current …