Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
Abstract: Due to rapid advancements in deep learning, Transformer-based architectures have proven effective in speech emotion recognition (SER), largely due to their ability to model long-term ...
Objective: This study aimed to compare the evaluation outcomes of SLPs and an automatic speech recognition (ASR) model using two standardized SSD assessments in South Korea, evaluating the ASR model’s ...
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