Noushin Hajarolasvadi
Papers
1
Total Citations
155
H-Index
1
About
Dr. Noushin Hajarolasvadi is a leading researcher in affective computing and human–robot interaction, with a core focus on speech emotion recognition and multimodal signal processing. Her most cited work, “3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms” (2019, 155 citations), introduces a novel framework that transforms speech signals into spectrograms and applies K-means clustering to enhance emotion classification accuracy. This approach addresses the longstanding challenge of detecting human intentions and emotions from vocal cues, directly improving the responsiveness and naturalness of robotic systems. By leveraging 3D convolutional neural networks, Dr. Hajarolasvadi’s method captures both temporal and spectral features, achieving robust performance across diverse emotional states. Her contributions have been widely recognized, with her work cited over 155 times, underscoring its impact on advancing human–robot interaction technologies. Beyond this flagship study, she continues to explore deep learning architectures for affective state recognition, bridging the gap between raw acoustic data and meaningful emotional interpretation. Dr. Hajarolasvadi’s research not only pushes the boundaries of machine perception but also lays practical groundwork for empathetic, context-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
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