Intro
The SF Soft Soundfont Dataset is a comprehensive sample library designed for intelligent music synthesis and digital audio workstation (DAW) development, featuring a diverse collection of high-quality instrument sounds spanning multiple categories including piano, strings, woodwinds, brass, percussion, electronic synthesizers, and ethnic instruments, while supporting both mainstream soundfont formats: SF2, which utilizes uncompressed PCM storage to ensure maximum fidelity and tonal authenticity, and SF3, which employs Ogg Vorbis compression to achieve reduced file sizes and faster loading times; each soundfont is accompanied by structured metadata encompassing instrument classification, pitch range, sample rate, polyphony count, velocity layering, and loop markers, enabling advanced applications such as automatic arrangement, real-time performance, timbre transfer, and cross-platform sequencer development, making it well-suited for mobile music applications, game audio engines, and AI-driven composition systems to facilitate high-fidelity, low-latency intelligent music generation experiences.
Usage
from datasets import load_dataset
ds = load_dataset(
"Genius-Society/soundfonts",
split="train",
cache_dir="./__pycache__",
trust_remote_code=True,
)
for item in ds:
print(item)
Maintenance
git clone git@hf.co:datasets/Genius-Society/soundfonts
cd soundfonts
Mirror
https://www.modelscope.cn/datasets/Genius-Society/soundfonts
- Downloads last month
- 20