Review of “Speech Emotion Recognition”: A Comprehensive Study

The review article, “Speech Emotion Recognition: A Comprehensive Study,” starts off by summarizing the significance of speech emotion recognition and highlighting all of the different ways it may be used in fields like healthcare, human-computer interaction, and customer service. It offers a methodical classification of various methodologies and comprises feature extraction techniques, classification algorithms, and datasets utilized in SER. A study of the field’s transition from traditional handmade components to deep learning-based techniques is included, along with an explanation of their implications. This study offers a comprehensive understanding of the state of SER systems today, covering their benefits, limitations, and future implications. For academics, professionals, and decision-makers attempting to comprehend the workings of voice emotion recognition technology, it is a helpful resource.