Augmenting Generative Adversarial Networks for Speech Emotion Recognition [PDF]
, 2020 Generative adversarial networks (GANs) have shown potential in learning emotional attributes and generating new data samples. However, their performance is usually hindered by the unavailability of larger speech emotion recognition (SER) data.
Raja Jurdak +11 more
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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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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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Speaker Attentive Speech Emotion Recognition [PDF]
Interspeech 2021, 2021 Speech Emotion Recognition (SER) task has known significant improvements over the last years with the advent of Deep Neural Networks (DNNs). However, even the most successful methods are still rather failing when adaptation to specific speakers and scenarios is needed, inevitably leading to poorer performances when compared to humans. In this paper, we
Clément Le Moine +2 more
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Dimensional speech emotion recognition from speech features and word embeddings by using multitask learning [PDF]
, 2020 The majority of research in speech emotion recognition (SER) is conducted to recognize emotion categories. Recognizing dimensional emotion attributes is also important, however, and it has several advantages over categorical emotion.
Atmaja, Bagus Tris, Akagi, Masato
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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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Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema [PDF]
, 2012 06.08.13 KB. Ok to add accepted version to spiral, embargo period expired. SpringerIn this paper, a psychologically-inspired binary cascade classification schema is proposed for speech emotion recognition.
Kotti, Margarita, Paternò, Fabio
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Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion [PDF]
, 2022 Speech emotion recognition (SER) is traditionally performed using merely acoustic information. Acoustic features, commonly are extracted per frame, are mapped into emotion labels using classifiers such as support vector machines for machine learning or ...
Atmaja, Bagus Tris +2 more
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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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Representation learning with parameterised quantum circuits for advancing speech emotion recognition. [PDF]
Sci RepQuantum machine learning (QML) offers a promising avenue for advancing representation learning in complex signal domains. In this study, we investigate the use of parameterised quantum circuits (PQCs) for speech emotion recognition (SER)–a challenging ...
Rajapakshe T +4 more
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