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Audio-visual child-adult speaker classification in dyadic interactions
Building on the foundation of an audio-only child-adult speaker classification pipeline, we propose incorporating visual cues through active speaker detection and visual processing models.
MM-AU:Towards Multimodal Understanding of Advertisement Videos
Advertisement videos (ads) play an integral part in the domain of Internet e-commerce as they amplify the reach of particular products to a broad audience or can serve as a medium to raise awareness about specific issues through concise narrative structures.
Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings
This paper proposes applications of speech processing technologies in support of automated assessment of children's spoken language development by classification between child and adult speech and between speech and nonverbal vocalization in NLS, with respective F1 macro scores of 82. 6% and 67. 8%, underscoring the potential for accurate and scalable tools for ASD research and clinical use.
Cross Domain Adaptation by Learning Partially Shared Classifiers and Weighting Source Data Points in the Shared Subspaces
In this paper, we propose a novel transfer learning method for this problem by learning a partially shared classifier for the target domain, and weighting the source domain data points.
