A barking emotion recognition method based on Mamba and Synchrosqueezing Short-Time Fourier Transform
C Yang, S Hu, L Tang, R Deng, G Zhou, J Yi… - Expert Systems with …, 2024 - Elsevier
Dog barks are a crucial means for dogs to express their emotions, conveying needs and
emotional states such as anger, sadness, or excitement. With the increasing number of pet …
emotional states such as anger, sadness, or excitement. With the increasing number of pet …
[HTML][HTML] Meltrans: Mel-spectrogram relationship-learning for speech emotion recognition via transformers
H Li, J Li, H Liu, T Liu, Q Chen, X You - Sensors, 2024 - mdpi.com
Speech emotion recognition (SER) is not only a ubiquitous aspect of everyday
communication, but also a central focus in the field of human–computer interaction …
communication, but also a central focus in the field of human–computer interaction …
Context-based emotion recognition: A survey
Emotions play a crucial role in human communication, and accurately recognizing them is
essential for the development of intelligent systems capable of effective human interaction …
essential for the development of intelligent systems capable of effective human interaction …
SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition
Speech emotion recognition (SER) has made significant strides with the advent of powerful
self-supervised learning (SSL) models. However, the generalization of these models to …
self-supervised learning (SSL) models. However, the generalization of these models to …
Affective body expression recognition framework based on temporal and spatial fusion features
Affective body expression recognition technology enables machines to interpret non-verbal
emotional signals from human movements, which is crucial for facilitating natural and …
emotional signals from human movements, which is crucial for facilitating natural and …
Cross Corpus Speech Emotion Recognition using transfer learning and attention-based fusion of Wav2Vec2 and prosody features
Abstract Speech Emotion Recognition (SER) performance degrades when their training and
test conditions or corpora differ. Cross-corpus SER (CCSER) is a research branch that …
test conditions or corpora differ. Cross-corpus SER (CCSER) is a research branch that …
[PDF][PDF] Multilingual emotion recognition: Discovering the variations of lexical semantics between languages
The task of multilingual emotion recognition holds significant importance in cross-cultural
communication and data mining. While prior research has concentrated on enhancing …
communication and data mining. While prior research has concentrated on enhancing …
Enhancing Cross-Language Multimodal Emotion Recognition With Dual Attention Transformers
Despite the recent progress in emotion recognition, state-of-the-art systems are unable to
achieve improved performance in cross-language settings. In this article we propose a …
achieve improved performance in cross-language settings. In this article we propose a …
A low heterogeneity missing modality recovery learning for speech–visual emotion recognition
G Chen, L Chen, S Jiao, L Tan - Expert Systems with Applications, 2025 - Elsevier
Speech–visual emotion recognition plays an essential role in human–computer interaction
applications. Nevertheless, it generally suffers from some challenges, eg,(1) the …
applications. Nevertheless, it generally suffers from some challenges, eg,(1) the …
Domain adaptive dual-relaxation regression for speech emotion recognition
With the development of artificial intelligence techniques, speech emotion recognition (SER)
has become a significant research problem. Traditional SER methods use the data from the …
has become a significant research problem. Traditional SER methods use the data from the …