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Jul 18, 2024 · 8 min read · 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 ...
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Jul 16, 2024 · 5 min read · Sound files contain a wealth of information that can be used to recognize emotions in speech. By analyzing various acoustic features of speech recordings, we can extract meaningful data to train machine learning models for emotion classification. Thi...
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