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An Urdu speech corpus for emotion recognition [PDF]
PeerJ Computer Science, 2022 Emotion recognition from acoustic signals plays a vital role in the field of audio and speech processing. Speech interfaces offer humans an informal and comfortable means to communicate with machines. Emotion recognition from speech signals has a variety
Awais Asghar +4 more
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Speech-Based Emotion Recognition
INTERNATIONAL JOURNAL OF RECENT TRENDS IN ENGINEERING & RESEARCH, 2019 Many algorithms on speech-based emotion detection that utilize machine learning are published. They are often trained and tested on datasets that consist of audio clips in which the speaker emulates emotion such as anger, happiness, neutrality, and sadness. Despite the high accuracy that the algorithms have achieved, they are not suitable for real-life
Preeti Chawaj, S. R Khot
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Decision tree SVM model with Fisher feature selection for speech emotion recognition
EURASIP Journal on Audio, Speech, and Music Processing, 2019 The overall recognition rate will reduce due to the increase of emotional confusion in multiple speech emotion recognition. To solve the problem, we propose a speech emotion recognition method based on the decision tree support vector machine (SVM) model
Linhui Sun, Sheng Fu, Fu Wang
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Classification Research on Emotion in Speech of Grid Customers Based on AutoML
Zhejiang dianli, 2022 The recognition of emotion in speech of customers is of great significance to grid operation. However， the recognition model of emotion in speech is designed by experts， which imposes restrictions on the application of artificial intelligence. This paper
SHEN Ran +3 more
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Speech emotion recognition based on Graph-LSTM neural network
EURASIP Journal on Audio, Speech, and Music Processing, 2023 Currently, Graph Neural Networks have been extended to the field of speech signal processing. It is the more compact and flexible way to represent speech sequences by graphs.
Yan Li, Yapeng Wang, Xu Yang, Sio-Kei Im
semanticscholar +1 more source
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
Le Moine, Clément +2 more
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Speech Based Emotion Recognition
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Speech Emotion Recognition is the final year project that we are showcasing in this essay. Speech and emotion recognition is a current research hot topic with the aim of enhancing human-machine interaction. In order to categorise emotions into different groups, discriminator extraction is now used in the bulk of this field of study.
C. Karthik Reddy +3 more
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ETRI Journal, 2022 Although researchers have proposed numerous techniques for speech emotion recognition, its performance remains unsatisfactory in many application scenarios.
Linhui Sun, Qiu Li, Sheng Fu, Pingan Li
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Continuous Estimation of Emotions in Speech by Dynamic Cooperative Speaker Models [PDF]
, 2016 Automatic emotion recognition from speech has been recently focused on the prediction of time-continuous dimensions (e.g., arousal and valence) of spontaneous and realistic expressions of emotion, as found in real-life interactions.
Martinelli, E +4 more
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Speech Emotion Recognition System
International Journal of Advanced Research in Science, Communication and Technology, 2021 This project describes "VoiEmo- A Speech Emotion Recognizer", a system for recognizing the emotional state of an individual from his/her speech. For example, one's speech becomes loud and fast, with a higher and wider range in pitch, when in a state of fear, anger, or joy whereas human voice is generally slow and low pitched in sadness and tiredness ...
Sourabh Suke +6 more
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