![]() ![]() If you would like to develop your own formats or work with the sample playback channel (which we exclude), we also provide the original VGM files aggregated from VGMRips. Version 1.61 added support for the NES synthesizer (this is the only version nesmdb currently supports). VGM is designed to store timestamped logs of writes to several video game console synthesizers at audio sample rate (44.1 kHz). The aforementioned formats are derived from the VGM format. format( sum( for x in waits]) / 44100.)) Raw format # If loading MIDI file fails, try # pretty_midi.pretty_midi.MAX_TICK = 1e10 for instrument in midi_data. PrettyMIDI( 'train/297_SkyKid_00_01StartMusicBGMIntroBGM.mid') Import pretty_midi midi_data = pretty_midi. All voices except for TR contain additional timestamped lists of MIDI control change events representing velocity ( CC11) and timbre ( CC12) information.Ĭlick here for an IPython notebook exploring the MIDI version of NES-MDBĮxample source code for loading an NES-MDB MIDI with pretty_midi: ![]() Each voice contains a timestamped list of MIDI note events. MIDI files in NES-MDB consist of note/velocity/timbre events with 44.1 kHz timing resolution, allowing for sample-accurate reconstruction by an NES synthesizer.Įach MIDI file consists of four instrument voices: P1, P2, TR, and NO. The MIDI file format stores discrete musical events that describe a composition. ( 66 KB) Download NES-MDB Composer Metadata.( 31 MB) Download NES-MDB in Raw VGM Format.(155 MB) Download NES-MDB in Language Modeling Format.( 41 MB) Download NES-MDB in Blended Score Format.( 04 MB) Download NES-MDB in Separated Score Format.( 11 MB) Download NES-MDB in Expressive Score Format.( 12 MB) Download NES-MDB in MIDI Format.Hover download links for SHA256 checksums. If you are more familiar with language modeling, we recommend the NES Language Modeling (NLM) format. ![]() If your background is in algorithmic composition, we recommend using either the MIDI or score formats. Hence, we offer the dataset in several convenient formats, and provide details for those who wish to dig deeper. With NES-MDB, our goal is to allow researchers to study NES music while shielding them from the inner workings of an archaic audio synthesis chip. Each voice is programmed by modifying four 8-bit registers which update the audio synthesis state. The NES synthesizer has five instrument voices: two pulse-wave generators ( P1, P2), a triangle-wave generator ( TR), a percussive noise generator ( NO), and an audio sample playback channel (excluded for simplicity). We split the dataset into training, validation, and testing splits, ensuring that no composer appears in multiple splits. We build NES-MDB starting from the assembly code of NES games, which contain the exact timings and parameter values necessary for accurate chiptune renditions. The dataset represents 296 unique composers, and the songs contain more than two million notes combined. The NES-MDB dataset consists of 5278 songs from the soundtracks of 397 NES games. Otherwise, you may simply download an appropriate format of the dataset. You only need to install the nesmdb package if you want to listen to your generated results. This repository contains dataset information as well as nesmdb, a Python package that can be used to render your generated music through the NES synthesizer. The synthesizer is typically programmed in assembly, but we parse the assembly into straightforward formats that are more suitable for machine learning. The NES synthesizer has highly constrained compositional parameters which are well-suited to a wide variety of current machine learning techniques. The Nintendo Entertainment System Music Database (NES-MDB) is a dataset intended for building automatic music composition systems for the NES audio synthesizer ( paper). ![]()
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