Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2024 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …
applications to human–computer interaction. The expression of human emotion depends on …
Speech emotion recognition: a comprehensive survey
MJ Al-Dujaili, A Ebrahimi-Moghadam - Wireless Personal Communications, 2023 - Springer
Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …
he plays that plays an essential role in human interaction. Emotions are a king of speech …
[HTML][HTML] An ongoing review of speech emotion recognition
User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …
Speech emotion recognition based on multiple acoustic features and deep convolutional neural network
K Bhangale, M Kothandaraman - Electronics, 2023 - mdpi.com
Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large
number of SER schemes have been anticipated over the last decade. However, the …
number of SER schemes have been anticipated over the last decade. However, the …
Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
Speech emotion recognition approaches: A systematic review
The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …
Emotional speech recognition using deep neural networks
The expression of emotions in human communication plays a very important role in the
information that needs to be conveyed to the partner. The forms of expression of human …
information that needs to be conveyed to the partner. The forms of expression of human …
[HTML][HTML] Speech emotion recognition using machine learning—A systematic review
Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …
garner a significant amount of research interest, especially in the affective computing …
A voice-based real-time emotion detection technique using recurrent neural network empowered feature modelling
S Chamishka, I Madhavi, R Nawaratne… - Multimedia Tools and …, 2022 - Springer
The advancements of the Internet of Things (IoT) and voice-based multimedia applications
have resulted in the generation of big data consisting of patterns, trends and associations …
have resulted in the generation of big data consisting of patterns, trends and associations …
CyTex: Transforming speech to textured images for speech emotion recognition
Speech emotion recognition is an important aspect of emotional state recognition in human–
machine interaction. Approaches using speech-to-image transforms have become popular …
machine interaction. Approaches using speech-to-image transforms have become popular …