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A Novel Nonparametric Kernel for Speech Emotion Recognition [PDF]
Iranian Journal of Electrical and Electronic Engineering, 2023 The Nonparametric Speech Kernel (NSK), a nonparametric kernel technique, is presented in this study as a novel way to improve Speech Emotion Recognition (SER).
Mohammad Hasheminejad
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Automatic speech based emotion recognition using paralinguistics features [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2019 Affective computing studies and develops systems capable of detecting humans affects. The search for universal well-performing features for speech-based emotion recognition is ongoing.
J. Hook +3 more
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High-Order Markov Random Fields and Their Applications in Cross-Language Speech Recognition
Cybernetics and Information Technologies, 2015 In this paper we study the cross-language speech emotion recognition using high-order Markov random fields, especially the application in Vietnamese speech emotion recognition.
Zhipeng Jiang, Chengwei Huang
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Emotion Recognition from Noisy Speech [PDF]
2006 IEEE International Conference on Multimedia and Expo, 2006 This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the geodesic distance estimation, an enhanced Lipschitz embedding was developed to embed the 64-dimensional acoustic features into a six-dimensional space.
Mingyu You +4 more
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Speaker Awareness for Speech Emotion Recognition
International Journal of Online and Biomedical Engineering (iJOE), 2020 The idea of recognizing human emotion through speech (SER) has recently received considerable attention from the research community, mostly due to the current machine learning trend. Nevertheless, even the most successful methods are still rather lacking in terms of adaptation to specific speakers and scenarios, evidently reducing their performance ...
Gustavo Assunção +2 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2018 The performance of automatic speech recognition systems degrades in the presence of emotional states and in adverse environments (e.g., noisy conditions).
Meysam Bashirpour +1 more
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Deep Learning for Emotional Speech Recognition [PDF]
, 2014 Emotional speech recognition is a multidisciplinary research area that has received increasing attention over the last few years. The present paper considers the application of restricted Boltzmann machines (RBM) and deep belief networks (DBN) to the difficult task of automatic Spanish emotional speech recognition.
Máximo Sánchez-Gutiérrez +4 more
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Intelligent Systems with ApplicationsIn the super smart society (Society 5.0), new and rapid methods are needed for speech recognition, emotion recognition, and speech emotion recognition areas to maximize human-machine or human-computer interaction and collaboration. Speech signal contains
Yeşim ÜLGEN SÖNMEZ, Asaf VAROL
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Automatic Emotion Recognition in Speech: Possibilities and Significance [PDF]
Electronics, 2009 Automatic speech recognition and spoken language understanding are crucial steps towards a natural humanmachine interaction. The main task of the speech communication process is the recognition of the word sequence, but the recognition of prosody ...
Milana Bojanić, Vlado Delić
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Emotion Recognition from Speech: A Survey
Proceedings of the 15th International Conference on Web Information Systems and Technologies, 2019 Emotion recognition from speech signals is an important field in its own right as well as a mainstay of many multimodal sentiment analysis systems. The latter may as well include a broad spectrum of modalities which are strongly associated with consciously or subconsciously communicating human emotional state such as visual cues, gestures, body ...
Georgios Drakopoulos +3 more
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