--- title: "hifi-gan vs Confucius4-TTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jik876-hifi-gan-vs-netease-youdao-confucius4-tts" tools: ["jik876-hifi-gan", "netease-youdao-confucius4-tts"] --- # hifi-gan vs Confucius4-TTS *GraphCanon updated Aug 24, 2026* ## 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. [hifi-gan](https://github.com/jik876/hifi-gan) reports 2.4k GitHub stars, 555 forks, and 111 open issues, last pushed Jul 27, 2024. [Confucius4-TTS](https://github.com/netease-youdao/Confucius4-TTS) has 773 stars, 76 forks, and 11 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [hifi-gan's repository](https://github.com/jik876/hifi-gan) and [Confucius4-TTS's repository](https://github.com/netease-youdao/Confucius4-TTS). | | [hifi-gan](/tools/jik876-hifi-gan.md) | [Confucius4-TTS](/tools/netease-youdao-confucius4-tts.md) | | --- | --- | --- | | Tagline | Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis | Multilingual and Cross-Lingual Zero-Shot TTS Engine | | Stars | 2,363 | 773 | | Forks | 555 | 76 | | Open issues | 111 | 11 | | Language | Python | Python | | Adopt for | HiFi-GAN is optimized for generating high-fidelity speech efficiently and supports both training from scratch and fine-tuning with pretrained models. | Powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hifi-gan](/tools/jik876-hifi-gan.md) | [Confucius4-TTS](/tools/netease-youdao-confucius4-tts.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 731d | 5d | | Open issues (now) | 111 | 11 | | Stars delta | Unknown | +60 (30d) | | Open issues delta | Unknown | +1 (30d) | | Full report | [trust report](/tools/jik876-hifi-gan/trust.md) | [trust report](/tools/netease-youdao-confucius4-tts/trust.md) | ## Shared compatibility - **Python**: [hifi-gan](/tools/jik876-hifi-gan.md) - Python runtime; [Confucius4-TTS](/tools/netease-youdao-confucius4-tts.md) - Python runtime ## Decision facts: hifi-gan - **Adopt for:** HiFi-GAN is optimized for generating high-fidelity speech efficiently and supports both training from scratch and fine-tuning with pretrained models. ## Decision facts: Confucius4-TTS - **Adopt for:** Powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning. ## Choose when ### 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 ### 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 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 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. ## 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 (2,363 vs 773). 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](/tools/jik876-hifi-gan/alternatives) and [Confucius4-TTS alternatives](/tools/netease-youdao-confucius4-tts/alternatives) ([hifi-gan markdown twin](/tools/jik876-hifi-gan/alternatives.md), [Confucius4-TTS markdown twin](/tools/netease-youdao-confucius4-tts/alternatives.md)), 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](/compare/jik876-hifi-gan-vs-netease-youdao-confucius4-tts.md) 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: Very 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](/tools/jik876-hifi-gan/trust); [Confucius4-TTS trust report](/tools/netease-youdao-confucius4-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jik876-hifi-gan`](/api/graphcanon/graph?tool=jik876-hifi-gan) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_