Results 11 to 20 of about 15,605 (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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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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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.
europepmc +3 more sources
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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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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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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