A review on speech emotion recognition using deep learning and attention mechanism
Emotions are an integral part of human interactions and are significant factors in determining
user satisfaction or customer opinion. speech emotion recognition (SER) modules also play …
user satisfaction or customer opinion. speech emotion recognition (SER) modules also play …
Audio deepfakes: A survey
Z Khanjani, G Watson, VP Janeja - Frontiers in Big Data, 2023 - frontiersin.org
A deepfake is content or material that is synthetically generated or manipulated using
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
artificial intelligence (AI) methods, to be passed off as real and can include audio, video …
Two-way feature extraction for speech emotion recognition using deep learning
A Aggarwal, A Srivastava, A Agarwal, N Chahal… - Sensors, 2022 - mdpi.com
Recognizing human emotions by machines is a complex task. Deep learning models
attempt to automate this process by rendering machines to exhibit learning capabilities …
attempt to automate this process by rendering machines to exhibit learning capabilities …
Speech emotion recognition using recurrent neural networks with directional self-attention
As an important branch of affective computing, Speech Emotion Recognition (SER) plays a
vital role in human–computer interaction. In order to mine the relevance of signals in audios …
vital role in human–computer interaction. In order to mine the relevance of signals in audios …
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition
A challenging issue in the field of the automatic recognition of emotion from speech is the
efficient modelling of long temporal contexts. Moreover, when incorporating long-term …
efficient modelling of long temporal contexts. Moreover, when incorporating long-term …
Multimodal approach of speech emotion recognition using multi-level multi-head fusion attention-based recurrent neural network
Speech emotion recognition is a challenging but important task in human computer
interaction (HCI). As technology and understanding of emotion are progressing, it is …
interaction (HCI). As technology and understanding of emotion are progressing, it is …
Exploring deep spectrum representations via attention-based recurrent and convolutional neural networks for speech emotion recognition
The automatic detection of an emotional state from human speech, which plays a crucial role
in the area of human-machine interaction, has consistently been shown to be a difficult task …
in the area of human-machine interaction, has consistently been shown to be a difficult task …
Speech emotion recognition using deep neural network considering verbal and nonverbal speech sounds
Speech emotion recognition is becoming increasingly important for many applications. In
real-life communication, non-verbal sounds within an utterance also play an important role …
real-life communication, non-verbal sounds within an utterance also play an important role …
Hybrid deep learning with optimal feature selection for speech emotion recognition using improved meta-heuristic algorithm
K Manohar, E Logashanmugam - Knowledge-based systems, 2022 - Elsevier
Speech emotion recognition is the crucial stream in emotional computing and also create
few issues owing to its complication in processing. The efficiency of the acoustic methods …
few issues owing to its complication in processing. The efficiency of the acoustic methods …
Multimodal emotion recognition fusion analysis adapting BERT with heterogeneous feature unification
S Lee, DK Han, H Ko - IEEE access, 2021 - ieeexplore.ieee.org
Human communication includes rich emotional content, thus the development of multimodal
emotion recognition plays an important role in communication between humans and …
emotion recognition plays an important role in communication between humans and …