M. Laxmi

Speech Sentiment and Emotion Recognition: A Systematic Survey of Acoustic Features, Deep Models, and Transformer Architectures

Speech-based sentiment and emotion recognition is essential for affect-aware human-computer interaction, yet existing studies vary considerably in acoustic representations, learning architectures, label spaces, datasets, and evaluation protocols. This systematic survey reviews recent advances in speech emotion recognit...

ASPIRE-SER: An Adaptive Acoustic Transformer Graph Framework with Calibrated Selective Prediction for Reliable Speech Emotion Recognition