--- title: "dc_tts vs Confucius4-TTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-netease-youdao-confucius4-tts" tools: ["kyubyong-dc-tts", "netease-youdao-confucius4-tts"] --- # dc_tts vs Confucius4-TTS *GraphCanon updated Aug 24, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick Confucius4-TTS if powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [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 [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [Confucius4-TTS's repository](https://github.com/netease-youdao/Confucius4-TTS). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [Confucius4-TTS](/tools/netease-youdao-confucius4-tts.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Multilingual and Cross-Lingual Zero-Shot TTS Engine | | Stars | 1,156 | 773 | | Forks | 360 | 76 | | Open issues | 68 | 11 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | Powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [Confucius4-TTS](/tools/netease-youdao-confucius4-tts.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1203d | 5d | | Open issues (now) | 68 | 11 | | Stars delta | Unknown | +60 (30d) | | Open issues delta | Unknown | +1 (30d) | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/netease-youdao-confucius4-tts/trust.md) | ## Decision facts: dc_tts - **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. - **Adopt for:** dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## Decision facts: Confucius4-TTS - **Adopt for:** Powerful cross-lingual TTS for multilingual audio projects with no need for model fine-tuning. ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, Confucius4-TTS is Other. - 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. ### Choose Confucius4-TTS if… - License: Confucius4-TTS is Other, dc_tts is Apache-2.0. - Tags unique to Confucius4-TTS: audio, cross-lingual, deep-learning, fine-tuning. - Project requires support for multiple languages without the necessity of model fine-tuning. ## When NOT to use dc_tts - Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ## 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 dc_tts and Confucius4-TTS? dc_tts: A TensorFlow Implementation of DC-TTS. 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 dc_tts over Confucius4-TTS? Choose dc_tts over Confucius4-TTS when License: dc_tts is Apache-2.0, Confucius4-TTS is Other; 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 Confucius4-TTS over dc_tts? Choose Confucius4-TTS over dc_tts when License: Confucius4-TTS is Other, dc_tts is Apache-2.0; Tags unique to Confucius4-TTS: audio, cross-lingual, deep-learning, fine-tuning; Project requires support for multiple languages without the necessity of model fine-tuning. ### When should I avoid dc_tts? Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ### 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 dc_tts or Confucius4-TTS more popular on GitHub? dc_tts has more GitHub stars (1,156 vs 773). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and Confucius4-TTS open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, Confucius4-TTS: Other). ### Where can I find alternatives to dc_tts or Confucius4-TTS? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [Confucius4-TTS alternatives](/tools/netease-youdao-confucius4-tts/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/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/kyubyong-dc-tts-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, dc_tts or Confucius4-TTS? dc_tts: 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 dc_tts and Confucius4-TTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [Confucius4-TTS trust report](/tools/netease-youdao-confucius4-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kyubyong-dc-tts`](/api/graphcanon/graph?tool=kyubyong-dc-tts) - 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/_