Results 41 to 50 of about 15,656 (256)
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
doaj +1 more source
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +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
doaj +1 more source
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
doaj +1 more source
Speech Emotion Recognition Based on Memory Capsules and Attention [PDF]
Jisuanji gongchengIn current speech emotion recognition systems, the insufficient extraction of emotional features and inadequate modeling ability of models for complex emotional expressions have resulted in decreased recognition accuracy. This paper proposes a method for
DONG Hongliang, NIU Yan, SUN Yang, LI Jun
doaj +1 more source