MaxMViT-MLP: Multiaxis and Multiscale Vision Transformers Fusion Network for Speech Emotion Recognition
KL Ong, CP Lee, HS Lim, KM Lim, A Alqahtani - IEEE Access, 2024 - ieeexplore.ieee.org
Vision Transformers, known for their innovative architectural design and modeling
capabilities, have gained significant attention in computer vision. This paper presents a dual …
capabilities, have gained significant attention in computer vision. This paper presents a dual …
[PDF][PDF] A Blind Robust Image Watermarking on Selected DCT Coefficients for Copyright Protection
This paper proposes a blind and robust image watermarking technique using Discrete
Cosine Transform (DCT) for copyright protection on color images called BRIW-DCT. Each …
Cosine Transform (DCT) for copyright protection on color images called BRIW-DCT. Each …
Strong generalized speech emotion recognition based on effective data augmentation
H Tao, S Shan, Z Hu, C Zhu, H Ge - Entropy, 2022 - mdpi.com
The absence of labeled samples limits the development of speech emotion recognition
(SER). Data augmentation is an effective way to address sample sparsity. However, there is …
(SER). Data augmentation is an effective way to address sample sparsity. However, there is …
A Text Independent Speech Emotion Recognition Based on Convolutional Neural Network
With the advancement of deep learning approaches, the performance of speech emotion
recognition (SER) has shown significant improvements. However, system performance …
recognition (SER) has shown significant improvements. However, system performance …
Discovering the Optimal Setup for Speech Emotion Recognition Model Incorporating Different CNN Architectures
PJB Berdos, JO Saligumba, KP Deveza… - 2022 IEEE 14th …, 2022 - ieeexplore.ieee.org
Grown in recent decades, emotion recognition from speech data has been a research topic
in human-machine communication technologies. Different approaches, structures …
in human-machine communication technologies. Different approaches, structures …
Konuşma Duygu Tanıma için Akustik Özelliklere Dayalı LSTM Tabanlı Bir Yaklaşım
Konuşma duygu tanıma, konuşma sinyallerinden insan duygularını gerçek zamanlı olarak
tanıyabilen aktif bir insan-bilgisayar etkileşimi alanıdır. Bu alanda yapılan tanıma görevi …
tanıyabilen aktif bir insan-bilgisayar etkileşimi alanıdır. Bu alanda yapılan tanıma görevi …
Speech Emotion Recognition Using Combined Mel Spectrograms with 2D CNN Models
Ž Marma, M Punys, A Lipnickas - 2023 IEEE 12th International …, 2023 - ieeexplore.ieee.org
Speech emotion recognition is a task in machine learning to classify audio signals according
to the emotions portrayed by the speaker. Spectrograms allow audio classification task to be …
to the emotions portrayed by the speaker. Spectrograms allow audio classification task to be …
Emotion Recognition with AI Methodologies: Brief Review and Methodological Proposal
Emotion recognition plays a crucial role in the field of artificial intelligence, as it allows
machines to understand and respond appropriately to human emotions. This article provides …
machines to understand and respond appropriately to human emotions. This article provides …
Speech Emotion Recognition Using Deep Learning Hybrid Models
Speech Emotion Recognition (SER) has been essential to Human-Computer Interaction
(HCI) and other complex speech processing systems over the past decade. Due to the …
(HCI) and other complex speech processing systems over the past decade. Due to the …
Deep learning based emotion recognition in human-robot interaction with multi-modal data
J Joseph, RP Aneesh, J Zacharias - AIP Conference Proceedings, 2024 - pubs.aip.org
Emotion detection plays a critical role in various domains, such as human-robot interaction
and affective computing. This project focuses on the development and evaluation of models …
and affective computing. This project focuses on the development and evaluation of models …