Author

Toshimitsu Uesaka

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#artificial intelligence Jun 2026

Spatio-Temporal Audio Language Modeling for Dynamic Sound Sources

ST-AudioQA, a spatio-temporal audio QA dataset and benchmark built from first-order ambisonic (FOA) renderings of static and moving sound sources, and ST-Audio Encoder, which jointly learns event semantics and time-resolved source trajectories, and ST-AudioLM, which exposes these audio tokens to an LLM for spatio-tempo...

Hyun-Bin Oh, Kazuki Shimada, Yuhta Takida et al. · arXiv.org · 3 citations

#machine learning Oct 2025

Theoretical Refinement of CLIP by Utilizing Linear Structure of Optimal Similarity

KME-CLIP is proposed, which leverages this structure through the inner product in a reproducing kernel Hilbert space (RKHS) and theoretically proves that the KME-CLIP similarity can bring the contrastive loss arbitrarily close to its optimal value, which is attained by PMI, as the size of the point set grows.

Naoki Yoshida, Satoshi Hayakawa, Yuhta Takida et al. · arXiv.org · 2 citations