DDSP-SVC

No phone app

6.2No. 27 of 56
in AI Song Cover Generators
  • Recognised40% of the score20
  • Phone app26% of the score0
  • Documented20% of the score78
  • Free plan14% of the score100
Free plan
Yes
Runs on
self-hosted, Windows

Summary

DDSP-SVC is ranked #27 of 56 in AI song cover generators on Samsung Mobile US Press. It runs on Self-hosted, Windows. There is a free plan.

DDSP-SVC plans and pricing

All plans
Free Free Personal computer software · Requires local Python dependencies and pretrained model assets github.com · 9 Oct 2026

Compared on AI song cover generators

Free plan
Yesgithub.com
Vocal upload
Yesgithub.com
Custom voice creation
Yesgithub.com
Export formats
WAVgithub.com

Facts

What it does
DDSP-SVC is an open-source project for real-time singing voice conversion.github.com · 9 Oct 2026
Local processing
The README describes installing dependencies and running the conversion GUI locally with Python.github.com · 9 Oct 2026
Real-time conversion
Its real-time interface uses sliding windows, cross-fading, SOLA-based splicing, and contextual semantic reference.github.com · 9 Oct 2026
Offline conversion
The command-line interface converts an input WAV file to an output WAV file and accepts pitch-shift and speaker options.github.com · 9 Oct 2026
Model training
The project documents preprocessing audio datasets and training a model with a rectified-flow script.github.com · 9 Oct 2026
Multi-speaker support
Training supports multi-speaker models configured with a speaker count and speaker-numbered audio folders.github.com · 9 Oct 2026
Model components
The setup instructions support ContentVec or HubertSoft encoders, an NSF-HiFiGAN vocoder, and the RMVPE pitch extractor.github.com · 9 Oct 2026
Integrations
The README recommends installing PyTorch and documents TensorBoard for viewing training status and generated test audio.github.com · 9 Oct 2026
Hardware and setup
The README says its default configuration suits 44.1 kHz training with an RTX 4060 and reports a working Python 3.11, Windows, CUDA 13.0, PyTorch 2.9.1, and torchaudio 2.9.1 setup.github.com · 9 Oct 2026
Dataset guidance
The project recommends about 1,000 training clips and about 10 validation clips, with each audio clip at least two seconds long.github.com · 9 Oct 2026
Data and legal use
The author asks users to train only with legally obtained authorized data and not use models or generated audio for illegal purposes.github.com · 9 Oct 2026
Intended users
The project describes its goal as developing free AI voice-changer software that can be used on personal computers.github.com · 9 Oct 2026

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Where it ranks on Samsung Mobile US Press

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Sources