Comparison
dc_tts vs DiffSinger
Verdict
Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick DiffSinger if diffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS.
Markdown twin · dc_tts alternatives · DiffSinger alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | dc_tts | DiffSinger |
|---|---|---|
| Maintenance | Dormant (1254d since push) As of Sep 20, 2026 · github_public_v1 | Steady (57d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dc_tts
- A TensorFlow Implementation of DC-TTS
- DiffSinger
- Singing Voice Synthesis via Shallow Diffusion Mechanism
Stars
- dc_tts
- 1.2k
- DiffSinger
- 4.9k
Forks
- dc_tts
- 360
- DiffSinger
- 826
Open issues
- dc_tts
- 68
- DiffSinger
- 53
Language
- dc_tts
- Python
- DiffSinger
- Python
Adopt for
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
- DiffSinger
- DiffSinger leverages a shallow diffusion mechanism for high-quality singing voice synthesis and text-to-speech (TTS) tasks. It supports both ground-truth F0-based singing synthesis and explicit pitch prediction in TTS.
Persona
- dc_tts
- -
- DiffSinger
- -
Runtime
- dc_tts
- -
- DiffSinger
- -
License
- dc_tts
- Apache-2.0
- DiffSinger
- MIT
Last pushed
- dc_tts
- Apr 14, 2023
- DiffSinger
- Jul 24, 2026
Categories
- dc_tts
- Speech & Audio
- DiffSinger
- Speech & Audio
Trust and health
Maintenance
- dc_tts
- Dormant (18%)
- DiffSinger
- Steady (60%)
Days since push
- dc_tts
- 1254d
- DiffSinger
- 57d
Open issues (now)
- dc_tts
- 68
- DiffSinger
- 53
Stars delta
- dc_tts
- +3 (30d)
- DiffSinger
- +27 (30d)
OSV dependency advisories
- dc_tts
- No lockfile (source not queried)
- DiffSinger
- Published findings
Full report
- dc_tts
- Trust report
- DiffSinger
- Trust report
Choose dc_tts if…
- License: dc_tts is Apache-2.0, DiffSinger is MIT.
- Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy..
- Tags unique to dc_tts: speech, speech-to-text, tensorflow, tts.
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
When NOT to use dc_tts
- Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts.
Choose DiffSinger if…
- License: DiffSinger is MIT, dc_tts is Apache-2.0.
- Tags unique to DiffSinger: aaai2022, diffusion model, singing-synthesis, speech-synthesis.
- Need precise control over the fundamental frequency (F0) when synthesizing singing voices
When NOT to use DiffSinger
- In need of real-time synthesis performance due to the resource demands of diffusion mechanisms
- Looking for an end-to-end model that does not require ground-truth F0 information for SVS tasks
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Kyubyong/dc_tts) · observed Sep 20, 2026
- GitHub forks (Kyubyong/dc_tts) · observed Sep 20, 2026
- Last push (Kyubyong/dc_tts) · observed Apr 14, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (MoonInTheRiver/DiffSinger) · observed Sep 20, 2026
- GitHub forks (MoonInTheRiver/DiffSinger) · observed Sep 20, 2026
- Last push (MoonInTheRiver/DiffSinger) · observed Jul 24, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dc_tts 1.2k · DiffSinger 4.9k (synced Sep 20, 2026).
Common questions
- What is the difference between dc_tts and DiffSinger?
- dc_tts: A TensorFlow Implementation of DC-TTS. DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism. See the comparison table for live GitHub stats and shared categories.
- When should I choose dc_tts over DiffSinger?
- Choose dc_tts over DiffSinger when License: dc_tts is Apache-2.0, DiffSinger is MIT; Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for
tf.contrib.layers.layer_norm.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.; Tags unique to dc_tts: speech, speech-to-text, tensorflow, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. - When should I choose DiffSinger over dc_tts?
- Choose DiffSinger over dc_tts when License: DiffSinger is MIT, dc_tts is Apache-2.0; Tags unique to DiffSinger: aaai2022, diffusion model, singing-synthesis, speech-synthesis; Need precise control over the fundamental frequency (F0) when synthesizing singing voices.
- When should I avoid dc_tts?
- Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts.
- When should I avoid DiffSinger?
- In need of real-time synthesis performance due to the resource demands of diffusion mechanisms Looking for an end-to-end model that does not require ground-truth F0 information for SVS tasks
- Is dc_tts or DiffSinger more popular on GitHub?
- DiffSinger has more GitHub stars (4,861 vs 1,159). Stars measure visibility, not whether either tool fits your constraints.
- Are dc_tts and DiffSinger open source?
- Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, DiffSinger: MIT).
- Where can I find alternatives to dc_tts or DiffSinger?
- GraphCanon lists graph-backed alternatives at dc_tts alternatives and DiffSinger alternatives (dc_tts markdown twin, DiffSinger markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, dc_tts or DiffSinger?
- dc_tts: Dormant. DiffSinger: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for dc_tts and DiffSinger?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dc_tts trust report; DiffSinger trust report.