---
title: "dc_tts vs metavoice-src"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-metavoiceio-metavoice-src"
tools: ["kyubyong-dc-tts", "metavoiceio-metavoice-src"]
---

# dc_tts vs metavoice-src

*GraphCanon updated Jul 30, 2026*

## Verdict

Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick metavoice-src if metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM.

[dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [metavoice-src](https://themetavoice.xyz/) has 4.2k stars, 693 forks, and 64 open issues, last pushed Jul 30, 2024. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [metavoice-src's repository](https://github.com/metavoiceio/metavoice-src).

| | [dc_tts](/tools/kyubyong-dc-tts.md) | [metavoice-src](/tools/metavoiceio-metavoice-src.md) |
| --- | --- | --- |
| Tagline | A TensorFlow Implementation of DC-TTS | Foundational model for human-like, expressive TTS |
| Stars | 1,156 | 4,203 |
| Forks | 360 | 693 |
| Open issues | 68 | 64 |
| Language | Python | Python |
| Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | Metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Speech & Audio | Speech & Audio |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [dc_tts](/tools/kyubyong-dc-tts.md) | [metavoice-src](/tools/metavoiceio-metavoice-src.md) |
| --- | --- | --- |
| Days since push | 1203d | 728d |
| Open issues (now) | 68 | 64 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/metavoiceio-metavoice-src/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: metavoice-src

- **Adopt for:** Metavoice-src is an AI-driven repository focused on producing human-like expressive text-to-speech (TTS) systems using deep learning and PyTorch, with specific requirements such as minimum 12GB GPU VRAM.

## Choose when

### Choose dc_tts if…

- 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-to-text, tensorflow.
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.

### Choose metavoice-src if…

- Tags unique to metavoice-src: ai, deep-learning, pytorch, speech-synthesis.
- metavoice-src ships Docker support for self-hosted deployment.
- When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches

## 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 metavoice-src

- For users lacking a GPU with at least 12GB VRAM
- Without Python version 3.10 to 3.12, metavoice-src might not function properly

## Common questions

### What is the difference between dc_tts and metavoice-src?

dc_tts: A TensorFlow Implementation of DC-TTS. metavoice-src: Foundational model for human-like, expressive TTS. See the comparison table for live GitHub stats and shared categories.

### When should I choose dc_tts over metavoice-src?

Choose dc_tts over metavoice-src when 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-to-text, tensorflow; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.

### When should I choose metavoice-src over dc_tts?

Choose metavoice-src over dc_tts when Tags unique to metavoice-src: ai, deep-learning, pytorch, speech-synthesis; metavoice-src ships Docker support for self-hosted deployment; When aiming for high-fidelity human-like TTS quality leveraging advanced deep learning approaches.

### 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 metavoice-src?

For users lacking a GPU with at least 12GB VRAM Without Python version 3.10 to 3.12, metavoice-src might not function properly

### Is dc_tts or metavoice-src more popular on GitHub?

metavoice-src has more GitHub stars (4,203 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.

### Are dc_tts and metavoice-src open source?

Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, metavoice-src: Apache-2.0).

### Where can I find alternatives to dc_tts or metavoice-src?

GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [metavoice-src alternatives](/tools/metavoiceio-metavoice-src/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [metavoice-src markdown twin](/tools/metavoiceio-metavoice-src/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-metavoiceio-metavoice-src.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, dc_tts or metavoice-src?

dc_tts: Dormant. metavoice-src: Dormant. 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 metavoice-src?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [metavoice-src trust report](/tools/metavoiceio-metavoice-src/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/_
