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 …
Cross corpus multi-lingual speech emotion recognition using ensemble learning
Receiving an accurate emotional response from robots has been a challenging task for
researchers for the past few years. With the advancements in technology, robots like service …
researchers for the past few years. With the advancements in technology, robots like service …
An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques
Speech emotion recognition is one of the challenging research issues in the knowledge-
based system and various methods have been recommended to reach high classification …
based system and various methods have been recommended to reach high classification …
A novel approach for classification of speech emotions based on deep and acoustic features
MB Er - IEEE Access, 2020 - ieeexplore.ieee.org
The problem of recognition and classification of emotions in speech is one of the most
prominent research topics, that has gained popularity, in human-computer interaction in the …
prominent research topics, that has gained popularity, in human-computer interaction in the …
Ensemble of multi-task deep convolutional neural networks using transfer learning for fruit freshness classification
Automatic classification of fruit freshness plays an important role in the agriculture industry.
In this work, we propose an ensemble model that combines the bottleneck features of two …
In this work, we propose an ensemble model that combines the bottleneck features of two …
Improved multi-lingual sentiment analysis and recognition using deep learning
A Khan - Journal of Information Science, 2023 - journals.sagepub.com
Speech emotion recognition (SER) is still a fresh in natural language processing domain
since the accuracy is beyond targeted. Mainly due to real-time applications such as human …
since the accuracy is beyond targeted. Mainly due to real-time applications such as human …
Special issue on ensemble learning and applications
P Pintelas, IE Livieris - Algorithms, 2020 - mdpi.com
During the last decades, in the area of machine learning and data mining, the development
of ensemble methods has gained a significant attention from the scientific community …
of ensemble methods has gained a significant attention from the scientific community …
Sensing beyond itself: Multi-functional use of ubiquitous signals towards wearable applications
Wearable technologies provide a non-invasive way to monitor user's activity, identity, and
health in real-time, which have attracted tremendous interests from both academia and …
health in real-time, which have attracted tremendous interests from both academia and …
An automated wavelet-based sleep scoring model using EEG, EMG, and EOG signals with more than 8000 subjects
Human life necessitates high-quality sleep. However, humans suffer from a lower quality of
life because of sleep disorders. The identification of sleep stages is necessary to predict the …
life because of sleep disorders. The identification of sleep stages is necessary to predict the …