Author

K. Gouthaman

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Preprint Sep 2026

Audible World Models: Spatially Aware Sound Generation for 3D Worlds

Text- and image-conditioned world generators can create visually rich 3D environments, yet these worlds often remain silent or rely on soundtracks synthesized solely from text or rendered video. Although such audio can convey what should be heard, it lacks an explicit representation of where sound sources are located a...

Duo-Wen Chen, Jin-Jin He, K. Gouthaman et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Multichannel Audio Quality Assessment: Extending Pretrained Perceptual Models to Spatial Audio

Across five 5.1-channel test sets, FGAtt achieves the strongest over- all performance, demonstrating the effectiveness of feature-level adaptation for reusing pretrained perceptual knowledge for multichannel spatial audio.

K. Gouthaman, S. Gehlot, Vishnu Raj et al. · 0 citations

#artificial intelligence Preprint Aug 2026

VIBE: Video Instruction-aligned Background music gEneration

VIBE is introduced, a novel text-and-video-to-music (T+V2M) generation model that leverages a depth-wise cross-layer conditioning mechanism that dynamically bridges the planning and diffusion refinement heads and a comprehensive reward modeling taxonomy, optimizing for both hard, verifiable constraints and soft, subjec...

Aryan Vijay Bhosale, Vaibhavi Lokegaonkar, Vishnu Raj et al. · 0 citations