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DDSP-SVC vs SoulX-Singer

DDSP-SVC

github.com

SoulX-Singer

github.com

Side by side

FigureDDSP-SVCSoulX-Singer
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
WindowsYes—
Linux—Yes
Self-hostedYesYes
Plans published11
Spec score · AI song cover generators7.7 (#24)8.1 (#9)

Plans

DDSP-SVC

  • FreeFree

DDSP-SVC pricing →

SoulX-Singer

  • SoulX-SingerFree

SoulX-Singer pricing →

In their own words

DDSP-SVC

DDSP-SVC has no write-up on Specifiction yet; its figures are above.

Visit github.com

SoulX-Singer

SoulX-Singer is a singing voice synthesis model that generates voices for singers it has not been tuned on. Pitch, rhythm, and expression can be guided by melody-conditioned F0 contours or score-conditioned MIDI notes. Its voice-conversion system changes raw singing audio to a target singer’s voice while retaining melody, rhythm, and lyrics, without requiring lyric or MIDI transcriptions. It supports Mandarin Chinese, English, and Cantonese, plus singer-timbre cloning, cross-lingual synthesis, and lyric editing while retaining natural prosody. Preprocessing tools handle vocal separation, dereverberation, F0 extraction, voice activity detection, and lyric and note transcription. Users can edit MIDI metadata, including lyrics, phoneme alignment, pitches, and durations, before synthesis. Soul-AILab provides generation and conversion demos and a separate MIDI editor through Hugging Face Spaces; the repository also supports local inference. Code and model weights use the Apache 2.0 license. Maintainers caution that automatic preprocessing may misalign singing with lyrics and notes, so manual correction may be needed.

Visit github.com