CS-YODAS is a new publicly available 313-hour dataset of spontaneous code-switched speech from multilingual YouTube content.
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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
AMR dynamically routes audio (W2V-BERT 2.0) and face (IResNet-18) embeddings via adapters and a KL-supervised router, reaching 99.07% average accuracy on POLY-SIM 2026 protocols and beating the FOP baseline by 32.73%.
citing papers explorer
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AMR: Adaptive Modality Routing for Multimodal Polyglot Speaker Identification
AMR dynamically routes audio (W2V-BERT 2.0) and face (IResNet-18) embeddings via adapters and a KL-supervised router, reaching 99.07% average accuracy on POLY-SIM 2026 protocols and beating the FOP baseline by 32.73%.