Results 31 to 40 of about 246,421 (281)
Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files
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]
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
Decision tree SVM model with Fisher feature selection for speech emotion recognition
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
doaj +1 more source
Classification Research on Emotion in Speech of Grid Customers Based on AutoML
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
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation [PDF]
Speech emotion recognition plays an important role in building more intelligent and human-like agents. Due to the difficulty of collecting speech emotional data, an increasingly popular solution is leveraging a related and rich source corpus to help ...
Chen, Ke, Zhou, Hao
core +2 more sources
Speech Emotion Recognition Based on Two-Stream Deep Learning Model Using Korean Audio Information
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
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
An Ensemble Model for Multi-Level Speech Emotion Recognition
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]
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
Speech Emotion Recognition Based on Attention MCNN Combined With Gender Information
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

