Effects of Data Augmentations on Speech Emotion Recognition [PDF]
Sensors, 2022 Data augmentation techniques have recently gained more adoption in speech processing, including speech emotion recognition. Although more data tend to be more effective, there may be a trade-off in which more data will not provide a better model.
Bagus Tris Atmaja, Akira Sasou
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Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models
Sensors, 2021 The advancements in neural networks and the on-demand need for accurate and near real-time Speech Emotion Recognition (SER) in human–computer interactions make it mandatory to compare available methods and databases in SER to achieve feasible solutions ...
Babak Joze Abbaschian +2 more
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Speech Emotion Recognition Using Deep Learning Techniques: A Review
IEEE Access, 2019 Emotion recognition from speech signals is an important but challenging component of Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER), many techniques have been utilized to extract emotions from signals, including ...
Ruhul Amin Khalil +5 more
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A Deep Learning Method Using Gender-Specific Features for Emotion Recognition
Sensors, 2023 Speech reflects people’s mental state and using a microphone sensor is a potential method for human–computer interaction. Speech recognition using this sensor is conducive to the diagnosis of mental illnesses.
Li-Min Zhang +5 more
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A Parallel-Model Speech Emotion Recognition Network Based on Feature Clustering
IEEE Access, 2023 Speech Emotion Recognition (SER) is a common aspect of human-computer interaction and has significant applications in fields such as healthcare, education, and elder care.
Li-Min Zhang +3 more
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Investigation of the Effect of Increased Dimension Levels in Speech Emotion Recognition
IEEE Access, 2022 In human-machine interaction systems, speech emotion recognition plays a key role. Recognition of categorical emotions has made a great improvement during the last few decades, but emotion recognition of spontaneous speech is still very challenging. This
Haiyan Wang, Xiaohui Zhao, Yanping Zhao
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Speech emotion recognition method in educational scene based on machine learning
EAI Endorsed Transactions on Scalable Information Systems, 2022 In order to effectively improve the accuracy and anti noise performance of speech emotion recognition in educational scenes, a new method based on machine learning is studied. Based on the fundamental frequency and resonance degree, the speech emotional
Yanning Zhang, Gautam Srivastava
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Emotional Interactive Simulation System of English Speech Recognition in Virtual Context
Complexity, 2020 With the development of virtual scenes, the degree of simulation and functions of virtual reality have been very complete, providing a new platform and perspective for teaching design.
Dan Li
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Computer Speech Recognition Technology and Graphic Shape Design
Advances in Multimedia, 2022 In order to solve the problem of lack of multimodal emotional database, a computer speech recognition technology and graphic form design research were proposed.
Yuxi Niu
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IMPROVED SPEAKER-INDEPENDENT EMOTION RECOGNITION FROM SPEECH USING TWO-STAGE FEATURE REDUCTION
Journal of ICT, 2015 In the recent years, researchers are focusing to improve the accuracy of speech emotion recognition. Generally, high emotion recognition accuracies were obtained for two-class emotion recognition, but multi-class emotion recognition is still a ...
Hasrul Mohd Nazid +3 more
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