Audio Samples Single Note Acoustic Synthesised
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
- Homepage: [Needs More Information]
- Repository: https://github.com/RikMaxSpeed/SampleGen
- Paper: [Needs More Information]
- Leaderboard: [Needs More Information]
- Point of Contact: RikMaxSpeed@gmail.com
A collection of approx 1000 audio samples of single notes from acoustic or synthesised instruments, containing only the notes C3 and C4.
This data-set is intended to enable the generation of new samples, which can then be performed by a synthesiser.
The file names, which typically describe the samples, are in English.
Imperial personal College CapStone project.
English, colloquial, with some inside musical industry jokes, for example spelling the famous "Rhodes" piano as "Roadz".
All files are in the .wav format, the majority have a sample rate of 44.1 kHz and a few are at 48 kHz.
None other than the file name from which a sample type or category could potentially be inferred.
The data-split is up to the user. Typically train=80%, test=20%.
The data-set was extracted from multiple sources, including:
- Free Wave Samples: public domain wave samples https://freewavesamples.com
- Music Radar: https://www.musicradar.com/news/sampleradar-free-essential-synth-samples
- Apple Logic (licensed software)
- Arturia Pigments (licensed software)
Although single-note samples are typically not copyrightable, these are all samples for which I, personally, hold a license.
This data-set is therefore not in the public-domain.
The only normalisation here was to restrict the files to those containing the note C3 or C4. This could be expanded in future.
File names are in English. No further text is available.
None.
Not Applicable
These audio files contain no personal information. However some come from licensed software distributions, therefore this dataset is for my personal use only.
None.
These are single-note samples of musical instruments from all over the world. However there is a strong bias towards instruments used in Western music, ie: piano, strings, brass, organ etc. Note: this dataset does not include audio-loops or sound effects.
[Needs More Information]
Richard Meyer
Parts of the dataset are sourced from Apple & Arturia, therefore this dataset is not publicly available.
[Needs More Information]