[HTML][HTML] Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition
NT Pham, DNM Dang, ND Nguyen, TT Nguyen… - Expert Systems with …, 2023 - Elsevier
Recently, speech emotion recognition (SER) has become an active research area in speech
processing, particularly with the advent of deep learning (DL). Numerous DL-based methods …
processing, particularly with the advent of deep learning (DL). Numerous DL-based methods …
Research on feature fusion speech emotion recognition technology for smart teaching
S Zhang, C Li - Mobile Information Systems, 2022 - Wiley Online Library
At present, there are numerous intelligent teaching applications based on various advanced
pattern recognition technologies, such as face sign‐in, classroom action recognition, student …
pattern recognition technologies, such as face sign‐in, classroom action recognition, student …
A new intelligence fuzzy-based hybrid metaheuristic algorithm for analyzing the application of tea waste in concrete as natural fiber
Y Cao, Y Zandi, A Rahimi, Y Wu, L Fu, Q Wang… - … and electronics in …, 2021 - Elsevier
Concrete is an ecologically friendly substance in which green concrete is a revolutionary
subject in concrete industry records. The emphasis of this study was on the impact of Tea …
subject in concrete industry records. The emphasis of this study was on the impact of Tea …
SERVER: Multi-modal speech emotion recognition using transformer-based and vision-based embeddings
NT Pham, DNM Dang, BNH Pham… - Proceedings of the 2023 …, 2023 - dl.acm.org
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 …
Speech emotion recognition using overlapping sliding window and Shapley additive explainable deep neural network
NT Pham, SD Nguyen, VST Nguyen… - Journal of Information …, 2023 - Taylor & Francis
Speech emotion recognition (SER) has several applications, such as e-learning, human-
computer interaction, customer service, and healthcare systems. Although researchers have …
computer interaction, customer service, and healthcare systems. Although researchers have …
Multi-modal speech emotion recognition: Improving accuracy through fusion of vggish and bert features with multi-head attention
PN Tran, TDT Vu, DNM Dang, NT Pham… - … Conference on Industrial …, 2023 - Springer
Recent research has shown that multi-modal learning is a successful method for enhancing
classification performance by mixing several forms of input, notably in speech-emotion …
classification performance by mixing several forms of input, notably in speech-emotion …
Vietnamese scene text detection and recognition using deep learning: An empirical study
NT Pham, Q Nguyen-Van, BH Nguyen… - 2022 6th …, 2022 - ieeexplore.ieee.org
Scene text detection and recognition are vital challenging tasks in computer vision, which
are to detect and recognize sequences of texts in natural scenes. Recently, researchers …
are to detect and recognize sequences of texts in natural scenes. Recently, researchers …
Ionic liquid coated magnetic core/shell CoFe2O4@SiO2 nanoparticles for the separation/analysis of trace gold in water sample
Y Zeng, X Zhu, J Xie, L Chen - Advances in nano research, 2021 - koreascience.kr
A new ionic liquid functionalized magnetic silica nanoparticle was synthesized and
characterized and tested as an adsorbent. The adsorbent was used for magnetic solid …
characterized and tested as an adsorbent. The adsorbent was used for magnetic solid …
Speech emotion recognition: A brief review of multi-modal multi-task learning approaches
NT Pham, AT Tran, BNH Pham, H Dang-Ngoc… - … Engineering Theory and …, 2022 - Springer
Speech emotion recognition (SER) has become an attention-grabbing topic in recent years
thanks to the development of deep learning in the field of speech processing. However, it is …
thanks to the development of deep learning in the field of speech processing. However, it is …
Comparative analysis of multi-loss functions for enhanced multi-modal speech emotion recognition
PN Tran, TDT Vu, NT Pham… - … on Information and …, 2023 - ieeexplore.ieee.org
In recent years, multi-modal analysis has gained significant prominence across domains
such as audio/speech processing, natural language processing, and affective computing …
such as audio/speech processing, natural language processing, and affective computing …
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