songKitamura is an artificial music dataset for evaluation of audio source separation techniques. This dataset is available only for the purpose of academic research. When you publish papers using this dataset, please cite the following manuscript that describes the details of this dataset:
In addition, please cite URL of this web page.Download
The explanation of the dataset is below:
songKitamura consists of four melody parts: Melody 1 and Melody 2 parts (high-range), Midrange part, and Bass part (low-range).
Four melody parts are played with the 11 instruments described above.
Each instruments are played with the above three MIDI sound softwares. MGS has the simplest timbre, GPO has the most realistic timbre, and YMH is an intermediate of them.
As the sample audio signals, two-octave ascending scale sounds of each musical instrument are included (only for YMH and GPO), where the scale sound covers the corresponding melody part.