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Articles tagged with #machine-learning
Introduction Speech emotion recognition (SER) is the task of automatically identifying the emotional state of a speaker from their voice. It has important applications in areas like human-computer interaction, call centers, healthcare, and affective ...
Evaluating the capabilities of large language models (LLMs) involves using a variety of benchmarks that test different aspects of their knowledge, ...
Introduction Speech Emotion Recognition (SER) is an emerging field at the intersection of speech processing, machine learning, and affective computing. It aims to automatically identify the emotional state of a speaker from their voice. This technolo...
