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Multibranch Attention and Fusion Network for Voice-Based Autism Detection Using Heterogeneous Audio Embeddings.
Voice-based analysis is attracting growing interest as a noninvasive means of identifying early markers of autism spectrum disorder (ASD). While pretrained audio models such as YAMNet and VGGish provide complementary views of children's speech, most existing studies rely on a single representation and do not explore ho...