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eess.AS2025
Listening without Looking: Modality Bias in Audio-Visual Captioning
Yuchi Ishikawa, Toranosuke Manabe, Tatsuya Komatsu +1
Audio-visual captioning aims to generate holistic scene descriptions by jointly modeling sound and vision. While recent methods have improved performance through sophisticated moda…
eess.AS2025
ProLAP: Probabilistic Language-Audio Pre-Training
Toranosuke Manabe, Yuchi Ishikawa, Hokuto Munakata +1
Language-audio joint representation learning frameworks typically depend on deterministic embeddings, assuming a one-to-one correspondence between audio and text. In real-world set…
eess.AS2024
Pre-training with Synthetic Patterns for Audio
Yuchi Ishikawa, Tatsuya Komatsu, Yoshimitsu Aoki
In this paper, we propose to pre-train audio encoders using synthetic patterns instead of real audio data. Our proposed framework consists of two key elements. The first one is Mas…