In this paper, we construct a model of convolutional neural network speech emotion algorithm, analyze the classroom identified by the neural network with a certain degree of confidence together with the school used in the dataset, find the ...
Qinying Yuan
doaj +1 more source
Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings [PDF]
This paper evaluates speech emotion and naturalness recognitions by utilizing deep learning models with multitask learning and single-task learning approaches. The emotion model accommodates valence, arousal, and dominance attributes known as dimensional
Atmaja, Bagus Tris +2 more
core +1 more source
Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning
Whispered speech, as an alternative speaking style for normal phonated (non-whispered) speech, has received little attention in speech emotion recognition.
Jun Deng +3 more
doaj +1 more source
The structural neuroanatomy of music emotion recognition: evidence from frontotemporal lobar degeneration. [PDF]
Despite growing clinical and neurobiological interest in the brain mechanisms that process emotion in music, these mechanisms remain incompletely understood.
Omar, Rohani +45 more
core +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
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
Survey of deep representation learning for speech emotion recognition [PDF]
Traditionally, speech emotion recognition (SER) research has relied on manually handcrafted acoustic features using feature engineering. However, the design of handcrafted features for complex SER tasks requires significant manual eort, which impedes ...
Siddique Latif +12 more
core +1 more source
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
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

