The global speech and voice recognition market is projected to grow from $20 billion in 2023 to over $53 billion by 2030. That number sounds impressive until you look at how the industry is actually ...
Abstract: Multimodal speech emotion recognition (SER) has emerged as pivotal for improving human–machine interaction. Researchers are increasingly leveraging both speech and textual information ...
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 ...
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