International Journal for Research in Applied Science and Engineering Technology, 2021 Abstract: Speech Emotion Recognition, abbreviated as SER, the act of trying to identify a person's feelings and relationships. Affected situations from speech. This is because the truth often reflects the basic feelings of tone and tone of voice. Emotional awareness is a fast-growing field of research in recent years.
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PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models [PDF]
Affective Computing and Intelligent Interaction, 2023 Many recent studies have focused on fine-tuning pretrained models for speech emotion recognition (SER), resulting in promising performance compared to traditional methods that rely largely on low-level, knowledge-inspired acoustic features.
Tiantian Feng, Shrikanth S. Narayanan
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Speech Emotion Recognition Using Self-Supervised Features [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 Self-supervised pre-trained features have consistently delivered state-of-art results in the field of natural language processing (NLP); however, their merits in the field of speech emotion recognition (SER) still need further investigation.
E. Morais +5 more
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Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network
Electronics, 2023 Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large number of SER schemes have been anticipated over the last decade.
K. Bhangale, Mohanaprasad Kothandaraman
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Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 While Wav2Vec 2.0 has been proposed for speech recognition (ASR), it can also be used for speech emotion recognition (SER); its performance can be significantly improved using different fine-tuning strategies. Two baseline methods, vanilla fine-tuning (V-
Li-Wei Chen, Alexander I. Rudnicky
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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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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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Generative Emotional AI for Speech Emotion Recognition: The Case for Synthetic Emotional Speech Augmentation [PDF]
Applied Acoustics, 2023 Despite advances in deep learning, current state-of-the-art speech emotion recognition (SER) systems still have poor performance due to a lack of speech emotion datasets.
Abdullah Shahid, S. Latif, Junaid Qadir
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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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Speech Emotion Recognition through Hybrid Features and Convolutional Neural Network
Applied Sciences, 2023 Speech emotion recognition (SER) is the process of predicting human emotions from audio signals using artificial intelligence (AI) techniques. SER technologies have a wide range of applications in areas such as psychology, medicine, education, and ...
A. Alluhaidan +4 more
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