The NES Music Database: A multi-instrumental dataset with expressive performance attributes
Not on the map. Why?
Abstract (arXiv)
Existing research on music generation focuses on composition, but often ignores the expressive performance characteristics required for plausible renditions of resultant pieces. In this paper, we introduce the Nintendo Entertainment System Music Database (NES-MDB), a large corpus allowing for separate examination of the tasks of composition and performance. NES-MDB contains thousands of multi-instrumental songs composed for playback by the compositionally-constrained NES audio synthesizer. For each song, the dataset contains a musical score for four instrument voices as well as expressive attributes for the dynamics and timbre of each voice. Unlike datasets comprised of General MIDI files, NES-MDB includes all of the information needed to render exact acoustic performances of the original compositions. Alongside the dataset, we provide a tool that renders generated compositions as NES-style audio by emulating the device's audio processor. Additionally, we establish baselines for the tasks of composition, which consists of learning the semantics of composing for the NES synthesizer, and performance, which involves finding a mapping between a composition and realistic expressive attributes.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jun 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 2; 2025: 2; 2026: 2.
11 papers.
- 2024Foundation Models for Music: A Surveycited by 34
- 2021DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Modelscited by 20
- 2022YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotationscited by 7
- 2025The GigaMIDI Dataset with Features for Expressive Music Performance Detectioncited by 7
- 2021Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Musiccited by 5
- 2024The NES Video-Music Database: A Dataset of Symbolic Video Game Music Paired with Gameplay Videoscited by 4
- 2025A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectivescited by 4
- 2022A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectivescited by 3
- 2023CoCoFormer: A controllable feature-rich polyphonic music generation methodcited by 0
- 2026Decomposer: Learning to Decompile Symbolic Music to Programscited by 0
- 2026Video-to-Music Generation for Gameplay Videoscited by 0
- 2026Video-to-Music Generation for Gameplay Videos25 Sep 2026
- 2026Decomposer: Learning to Decompile Symbolic Music to Programs2 Jul 2026
- 2025A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives1 Apr 2025
- 2025The GigaMIDI Dataset with Features for Expressive Music Performance Detection24 Feb 2025
- 2024Foundation Models for Music: A Survey26 Aug 2024
- 2024The NES Video-Music Database: A Dataset of Symbolic Video Game Music Paired with Gameplay Videos5 Apr 2024
- 2023CoCoFormer: A controllable feature-rich polyphonic music generation method15 Oct 2023
- 2022YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations14 Nov 2022
- 2022A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives25 Oct 2022
- 2021DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models30 Jul 2021
- 2021Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music13 Jul 2021