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Natural language descriptions can provide rich semantic representations of audio-visual urban scenes, yet datasets that jointly describe both auditory and visual information remain limited. In this paper, we introduce AVSD-Scenes, a paired audio-visual scene description dataset for urban environments. The dataset conta...
A hierarchical clustering algorithm is applied to analyse whether prepared speaker embeddings naturally form clusters with hierarchical relationships, and a new method is proposed, termed Hierarchical Cluster-Class Matching (HCCM), to identify which hierarchical clusters best match individual semantic classes like male...
This work proposes FlowSep2, a text-conditioned flow-matching generative model for LASS, which learns to generate the target source representation from Gaussian noise in a latent space, conditioned on both the mixture representation and the text query.
DCASE~2026 Task~5 introduces Audio-Dependent Question Answering (ADQA), which tests whether large audio-language models answer from the audio rather than from textual priors. An Audio-Dependency Filtering (ADF) pipeline combines silent-audio probing, per-option perplexity, a large language model (LLM) commonsense check...
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