Comparison
hifi-gan vs Confucius4-TTS
Verdict
Pick hifi-gan if hiFi-GAN is optimized for generating high-fidelity speech efficiently and supports both training from scratch and fine-tuning with pretrained models; pick Confucius4-TTS if powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning.
Markdown twin · hifi-gan alternatives · Confucius4-TTS alternatives
GraphCanon updated Sep 20, 2026
12views this month
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Trust & integrity
| Signal | hifi-gan | Confucius4-TTS |
|---|---|---|
| Maintenance | Dormant (784d since push) As of Sep 20, 2026 · github_public_v1 | Active (16d since push) As of Sep 19, 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 19, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- hifi-gan
- Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
- Confucius4-TTS
- Multilingual and Cross-Lingual Zero-Shot TTS Engine
Stars
- hifi-gan
- 2.4k
- Confucius4-TTS
- 799
Forks
- hifi-gan
- 559
- Confucius4-TTS
- 86
Open issues
- hifi-gan
- 111
- Confucius4-TTS
- 11
Language
- hifi-gan
- Python
- Confucius4-TTS
- Python
Adopt for
- hifi-gan
- HiFi-GAN is optimized for generating high-fidelity speech efficiently and supports both training from scratch and fine-tuning with pretrained models.
- Confucius4-TTS
- Powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning.
Persona
- hifi-gan
- -
- Confucius4-TTS
- -
Runtime
- hifi-gan
- -
- Confucius4-TTS
- -
License
- hifi-gan
- MIT
- Confucius4-TTS
- Other
Last pushed
- hifi-gan
- Jul 27, 2024
- Confucius4-TTS
- Sep 3, 2026
Categories
- hifi-gan
- Speech & Audio
- Confucius4-TTS
- Speech & Audio
Trust and health
Maintenance
- hifi-gan
- Dormant (18%)
- Confucius4-TTS
- Active (82%)
Days since push
- hifi-gan
- 784d
- Confucius4-TTS
- 16d
Open issues (now)
- hifi-gan
- 111
- Confucius4-TTS
- 11
Stars delta
- hifi-gan
- +7 (30d)
- Confucius4-TTS
- +86 (30d)
Open issues delta
- hifi-gan
- 0 (30d)
- Confucius4-TTS
- +1 (30d)
OSV dependency advisories
- hifi-gan
- Published findings
- Confucius4-TTS
- No lockfile (source not queried)
Full report
- hifi-gan
- Trust report
- Confucius4-TTS
- Trust report
Shared compatibility
- Python · hifi-gan: Python runtime · Confucius4-TTS: Python runtime
Choose hifi-gan if…
- License: hifi-gan is MIT, Confucius4-TTS is Other.
- Tags unique to hifi-gan: gan, hifi-gan, tts, vocoder.
- When you require real-time generation capabilities up to 167.9 times faster than real time on a single V100 GPU, or even 13.4 times faster on CPU than real time for the small footprint version
When NOT to use hifi-gan
- If your application prioritizes sample quality above speed, despite the competitive position of HiFi-GAN in both criteria
- When the computational resources for running models on a V100 GPU or leveraging the small footprint version's CPU efficiency are not available
- In scenarios requiring more than just high-fidelity speech synthesis but also complex text-to-speech natural language processing capabilities
Choose Confucius4-TTS if…
- License: Confucius4-TTS is Other, hifi-gan is MIT.
- Tags unique to Confucius4-TTS: audio, cross-lingual, fine-tuning, multi-lingual.
- Project requires support for multiple languages without the necessity of model fine-tuning.
When NOT to use Confucius4-TTS
- When project strictly demands language-specific TTS refinement and customization.
- For scenarios needing real-time low-latency TTS performance as Confucius4-TTS focuses on cross-lingual capabilities rather than speed optimizations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jik876/hifi-gan) · observed Sep 20, 2026
- GitHub forks (jik876/hifi-gan) · observed Sep 20, 2026
- Last push (jik876/hifi-gan) · observed Jul 27, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (netease-youdao/Confucius4-TTS) · observed Sep 20, 2026
- GitHub forks (netease-youdao/Confucius4-TTS) · observed Sep 20, 2026
- Last push (netease-youdao/Confucius4-TTS) · observed Sep 3, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hifi-gan 2.4k · Confucius4-TTS 799 (synced Sep 20, 2026).
Common questions
- What is the difference between hifi-gan and Confucius4-TTS?
- hifi-gan: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis. Confucius4-TTS: Multilingual and Cross-Lingual Zero-Shot TTS Engine. See the comparison table for live GitHub stats and shared categories.
- When should I choose hifi-gan over Confucius4-TTS?
- Choose hifi-gan over Confucius4-TTS when License: hifi-gan is MIT, Confucius4-TTS is Other; Tags unique to hifi-gan: gan, hifi-gan, tts, vocoder; When you require real-time generation capabilities up to 167.9 times faster than real time on a single V100 GPU, or even 13.4 times faster on CPU than real time for the small footprint version.
- When should I choose Confucius4-TTS over hifi-gan?
- Choose Confucius4-TTS over hifi-gan when License: Confucius4-TTS is Other, hifi-gan is MIT; Tags unique to Confucius4-TTS: audio, cross-lingual, fine-tuning, multi-lingual; Project requires support for multiple languages without the necessity of model fine-tuning.
- When should I avoid hifi-gan?
- If your application prioritizes sample quality above speed, despite the competitive position of HiFi-GAN in both criteria When the computational resources for running models on a V100 GPU or leveraging the small footprint version's CPU efficiency are not available In scenarios requiring more than just high-fidelity speech synthesis but also complex text-to-speech natural language processing capabilities
- When should I avoid Confucius4-TTS?
- When project strictly demands language-specific TTS refinement and customization. For scenarios needing real-time low-latency TTS performance as Confucius4-TTS focuses on cross-lingual capabilities rather than speed optimizations.
- Is hifi-gan or Confucius4-TTS more popular on GitHub?
- hifi-gan has more GitHub stars (2,370 vs 799). Stars measure visibility, not whether either tool fits your constraints.
- Are hifi-gan and Confucius4-TTS open source?
- Yes - both are open-source projects on GitHub (hifi-gan: MIT, Confucius4-TTS: Other).
- Where can I find alternatives to hifi-gan or Confucius4-TTS?
- GraphCanon lists graph-backed alternatives at hifi-gan alternatives and Confucius4-TTS alternatives (hifi-gan markdown twin, Confucius4-TTS 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, hifi-gan or Confucius4-TTS?
- hifi-gan: Dormant. Confucius4-TTS: Active. 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 hifi-gan and Confucius4-TTS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hifi-gan trust report; Confucius4-TTS trust report.