Author

Sreyan Ghosh

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#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, subjective qualities with a structured 5-stage training curriculum.

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

#artificial intelligence Preprint Aug 2026

TEMPO: Temporally-grounded Multi-task Post-training for Large Audio-Language Models

This work presents TEMPO (Temporally-grounded Multi-task Post-training), the first unified model to handle audio, speech, and music timestamping tasks and introduces the first application of reinforcement learning to unified audio timestamping, using GRPO with verifiable temporal rewards that directly optimize the evaluation objectives.

Apoorva Kulkarni, Kaousheik Jayakumar, Sreyan Ghosh et al. · 0 citations