April 9, 2024, 4:42 a.m. | Igor Cardoso, Rubens O. Moraes, Lucas N. Ferreira

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.04420v1 Announce Type: cross
Abstract: Neural models are one of the most popular approaches for music generation, yet there aren't standard large datasets tailored for learning music directly from game data. To address this research gap, we introduce a novel dataset named NES-VMDB, containing 98,940 gameplay videos from 389 NES games, each paired with its original soundtrack in symbolic format (MIDI). NES-VMDB is built upon the Nintendo Entertainment System Music Database (NES-MDB), encompassing 5,278 music pieces from 397 NES games. …

abstract arxiv cs.ai cs.lg cs.sd data database dataset datasets eess.as game gap large datasets music music generation nes novel popular research standard type video video game videos

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst (Digital Business Analyst)

@ Activate Interactive Pte Ltd | Singapore, Central Singapore, Singapore