Cascaded co-attention between CLAP audio features and RoBERTa text features improves text-to-audio retrieval mAP by about 16 percent on Clotho and 15 percent on AudioCaps relative to the authors' earlier GPTtar method.
Improved fusion of visual and language representations by dense symmetric co-attention for visual question answering,
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Language-based Audio Retrieval with Co-Attention Networks
Cascaded co-attention between CLAP audio features and RoBERTa text features improves text-to-audio retrieval mAP by about 16 percent on Clotho and 15 percent on AudioCaps relative to the authors' earlier GPTtar method.