Results 11 to 20 of about 15,656 (256)
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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Quantum AI in Speech Emotion Recognition. [PDF]
Entropy (Basel)We evaluate a hybrid quantum–classical pipeline for speech emotion recognition (SER) on a custom Afrikaans corpus using MFCC-based spectral features with pitch and energy variants, explicitly comparing three quantum approaches—a variational quantum classifier (VQC), a quantum support vector machine (QSVM), and a Quantum Approximate Optimisation ...
Norval M, Wang Z.
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An enhanced speech emotion recognition using vision transformer [PDF]
Scientific ReportsIn human–computer interaction systems, speech emotion recognition (SER) plays a crucial role because it enables computers to understand and react to users’ emotions.
Samson Akinpelu +2 more
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International Journal For Innovative Engineering and Management Research, 2022 Speech Emotion Recognition, abbreviated as SER, is the act of attempting to recognize human emotion and affective states from speech. This is capitalizing on the fact that voice often reflects underlying emotion through tone and pitch. This is also the phenomenon that animals like dogs and horses employ to be able to understand human emotion.
D. Sriharsha +3 more
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Audio-visual emotion recognition based on a deep convolutional neural network [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Emotion recognition has several applications in various fields, including human-computer interactions. In recent years, various methods have been proposed to recognize emotion using facial or speech information.
Kh. Aghajani
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Autoencoder With Emotion Embedding for Speech Emotion Recognition [PDF]
IEEE Access, 2021 An important part of the human-computer interaction process is speech emotion recognition (SER), which has been receiving more attention in recent years. However, although a wide diversity of methods has been proposed in SER, these approaches still cannot improve the performance.
Chenghao Zhang, Lei Xue
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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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