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Dual-Channel fusion of passive and active acoustic cues for intent detection using a multi head attention residual CNN
- Program: Electrical and Computer Engineering
- Course: EN.520.440/640 Machine Intelligence on Embedded Systems
- Year: 2025
Project Description:
Our project focuses on intent detection through the fusion of passive and active acoustic cues by utilizing advanced deep learning models. We are leveraging multi-head attention residual convolutional neural networks (CNNs) to effectively integrate and analyze the two types of acoustic signals for accurate intent recognition.
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