AI RESEARCH
Speech Emotion Recognition using Attention-based LSTM-Network with Residual Connection
arXiv CS.LG
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ArXi:2606.03359v1 Announce Type: cross Speech emotion recognition is an important component of modern human-computer interaction systems. However, many state-of-the-art approaches rely on large pretrained models with high computational and memory requirements, limiting their applicability. This paper proposes ResLSTM-SA, a lightweight architecture that integrates residual connections with soft attention within an LSTM-based framework.