--- title: "vall-e vs dc_tts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/enhuiz-vall-e-vs-kyubyong-dc-tts" tools: ["enhuiz-vall-e", "kyubyong-dc-tts"] --- # vall-e vs dc_tts *GraphCanon updated Sep 20, 2026* ## Verdict Pick vall-e if vALL-E is an unofficial PyTorch implementation of a text-to-speech (TTS) audio language model, requiring specific installation dependencies and environments; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. [vall-e](https://github.com/enhuiz/vall-e) reports 3.0k GitHub stars, 399 forks, and 71 open issues, last pushed May 10, 2023. [dc_tts](https://github.com/Kyubyong/dc_tts) has 1.2k stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. Figures are from public GitHub metadata via [vall-e's repository](https://github.com/enhuiz/vall-e) and [dc_tts's repository](https://github.com/Kyubyong/dc_tts). | | [vall-e](/tools/enhuiz-vall-e.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Tagline | An unofficial PyTorch implementation of the audio LM VALL-E | A TensorFlow Implementation of DC-TTS | | Stars | 2,973 | 1,159 | | Forks | 399 | 360 | | Open issues | 71 | 68 | | Language | Python | Python | | Adopt for | VALL-E is an unofficial PyTorch implementation of a text-to-speech (TTS) audio language model, requiring specific installation dependencies and environments. | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Model Training, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [vall-e](/tools/enhuiz-vall-e.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Days since push | 1229d | 1254d | | Open issues (now) | 71 | 68 | | Stars delta | -7 (30d) | +3 (30d) | | Full report | [trust report](/tools/enhuiz-vall-e/trust.md) | [trust report](/tools/kyubyong-dc-tts/trust.md) | ## Decision facts: vall-e - **Adopt for:** VALL-E is an unofficial PyTorch implementation of a text-to-speech (TTS) audio language model, requiring specific installation dependencies and environments. ## 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. ## Choose when ### Choose vall-e if… - License: vall-e is MIT, dc_tts is Apache-2.0. - Tags unique to vall-e: audio-lm, pytorch, text-to-speech, vall-e. - Also covers Model Training. - - Use VALL-E if your development environment already includes DeepSpeed and you are committed to using PyTorch for audio processing tasks. ### Choose dc_tts if… - License: dc_tts is Apache-2.0, vall-e 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. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## When NOT to use vall-e - - Avoid VALL-E if your project does not align with the specific requirements, such as the exact version of Python (Python 3.10.7) it was tested on. - - Do not use this tool if you lack a GPU that is compatible and tested by DeepSpeed or do not have access to CUDA or ROCm compilers. ## 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. ## Common questions ### What is the difference between vall-e and dc_tts? vall-e: An unofficial PyTorch implementation of the audio LM VALL-E. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories. ### When should I choose vall-e over dc_tts? Choose vall-e over dc_tts when License: vall-e is MIT, dc_tts is Apache-2.0; Tags unique to vall-e: audio-lm, pytorch, text-to-speech, vall-e; Also covers Model Training; - Use VALL-E if your development environment already includes DeepSpeed and you are committed to using PyTorch for audio processing tasks. ### When should I choose dc_tts over vall-e? Choose dc_tts over vall-e when License: dc_tts is Apache-2.0, vall-e 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; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I avoid vall-e? - Avoid VALL-E if your project does not align with the specific requirements, such as the exact version of Python (Python 3.10.7) it was tested on. - Do not use this tool if you lack a GPU that is compatible and tested by DeepSpeed or do not have access to CUDA or ROCm compilers. ### 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. ### Is vall-e or dc_tts more popular on GitHub? vall-e has more GitHub stars (2,973 vs 1,159). Stars measure visibility, not whether either tool fits your constraints. ### Are vall-e and dc_tts open source? Yes - both are open-source projects on GitHub (vall-e: MIT, dc_tts: Apache-2.0). ### Where can I find alternatives to vall-e or dc_tts? GraphCanon lists graph-backed alternatives at [vall-e alternatives](/tools/enhuiz-vall-e/alternatives) and [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) ([vall-e markdown twin](/tools/enhuiz-vall-e/alternatives.md), [dc_tts markdown twin](/tools/kyubyong-dc-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/enhuiz-vall-e-vs-kyubyong-dc-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, vall-e or dc_tts? vall-e: Dormant. dc_tts: 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 vall-e and dc_tts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [vall-e trust report](/tools/enhuiz-vall-e/trust); [dc_tts trust report](/tools/kyubyong-dc-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=enhuiz-vall-e`](/api/graphcanon/graph?tool=enhuiz-vall-e) - 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/_