Results 41 to 50 of about 195,949 (260)
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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Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files
IEEE Access, 2022 Emotion is a vital component in daily human communication and it helps people understand each other. Emotion recognition plays a crucial role in developing human-computer interaction and computer-based speech emotion recognition.
Felicia Andayani +3 more
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Speech Emotion Recognition Based on Two-Stream Deep Learning Model Using Korean Audio Information
Applied Sciences, 2023 Identifying a person’s emotions is an important element in communication. In particular, voice is a means of communication for easily and naturally expressing emotions.
A-Hyeon Jo, Keun-Chang Kwak
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Speech Emotion Recognition Method Based on Multiple Kernel Learning Feature Fusion [PDF]
Jisuanji gongcheng, 2019 Extracting the Mel-Frequency Cepstral Coefficients(MFCC) in speech emotion recognition will lose the spectral feature information,resulting in a low accuracy of emotion recognition.Therefore,a speech emotion recognition method combining MFCC and ...
WANG Zhongmin, LIU Ge, SONG Hui
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IEEE Access, 2023 Though acoustic speech emotion recognition has been studied for a while, bimodal speech emotion recognition using both acoustic and text has gained momentum since speech emotion recognition doesn’t only involve the acoustic modality.
Samuel Kakuba +2 more
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An Ensemble Model for Multi-Level Speech Emotion Recognition
Applied Sciences, 2019 Speech emotion recognition is a challenging and widely examined research topic in the field of speech processing. The accuracy of existing models in speech emotion recognition tasks is not high, and the generalization ability is not strong.
Chunjun Zheng, Chunli Wang, Ning Jia
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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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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
Speech Emotion Recognition Based on Attention MCNN Combined With Gender Information
IEEE Access, 2023 Emotion recognition is susceptible to interference such as feature redundancy and speaker gender differences, resulting in low recognition accuracy. This paper proposes a speech emotion recognition (SER) method based on attention mixed convolutional ...
Zhangfang Hu +3 more
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PLoS ONE, 2019 Emotion recognition plays an important role in human-computer interaction. Previously and currently, many studies focused on speech emotion recognition using several classifiers and feature extraction methods.
Panikos Heracleous, Akio Yoneyama
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