--- title: "dc_tts vs VoxCPM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-openbmb-voxcpm" tools: ["kyubyong-dc-tts", "openbmb-voxcpm"] --- # dc_tts vs VoxCPM *GraphCanon updated Sep 20, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick VoxCPM if voxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [VoxCPM](https://voxcpm.com) has 38k stars, 4.3k forks, and 123 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [VoxCPM's repository](https://github.com/OpenBMB/VoxCPM). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [VoxCPM](/tools/openbmb-voxcpm.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning | | Stars | 1,159 | 37,810 | | Forks | 360 | 4,292 | | Open issues | 68 | 123 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | VoxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Speech & Audio | Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [VoxCPM](/tools/openbmb-voxcpm.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1254d | 17d | | Open issues (now) | 68 | 123 | | Stars delta | +3 (30d) | +3.4k (30d) | | Open issues delta | 0 (30d) | +24 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/openbmb-voxcpm/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: VoxCPM - **Requirements:** Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support. - **Adopt for:** VoxCPM is a tokenizer-free TTS tool excelling in multilingual speech generation, creative voice design, and lifelike cloning. ## 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, speech-to-text, tensorflow. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### Choose VoxCPM if… - Requirements: Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support.. - Tags unique to VoxCPM: audio, deeplearning, minicpm, multilingual. - Also covers Inference & Serving. - When you need to generate high-quality, lifelike voice clones for multiple languages without the overhead of tokenizers. ## 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. ## When NOT to use VoxCPM - If your project is constrained by hardware with less powerful GPUs than NVIDIA RTX 4090, as VoxCPM might not provide optimal real-time factor performance. - When a simple text-to-speech solution suffices and does not require the advanced features like voice cloning or creative voice design that VoxCPM offers. ## Common questions ### What is the difference between dc_tts and VoxCPM? dc_tts: A TensorFlow Implementation of DC-TTS. VoxCPM: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over VoxCPM? Choose dc_tts over VoxCPM 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, speech-to-text, tensorflow; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I choose VoxCPM over dc_tts? Choose VoxCPM over dc_tts when Requirements: Python >= 3.10 (<3.13), PyTorch >= 2.5.0, CUDA >= 12.0.; For production deployment, Nano-vLLM is recommended for its high throughput and concurrent request support.; Tags unique to VoxCPM: audio, deeplearning, minicpm, multilingual; Also covers Inference & Serving; When you need to generate high-quality, lifelike voice clones for multiple languages without the overhead of tokenizers. ### 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. ### When should I avoid VoxCPM? If your project is constrained by hardware with less powerful GPUs than NVIDIA RTX 4090, as VoxCPM might not provide optimal real-time factor performance. When a simple text-to-speech solution suffices and does not require the advanced features like voice cloning or creative voice design that VoxCPM offers. ### Is dc_tts or VoxCPM more popular on GitHub? VoxCPM has more GitHub stars (37,810 vs 1,159). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and VoxCPM open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, VoxCPM: Apache-2.0). ### Where can I find alternatives to dc_tts or VoxCPM? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [VoxCPM alternatives](/tools/openbmb-voxcpm/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [VoxCPM markdown twin](/tools/openbmb-voxcpm/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-openbmb-voxcpm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or VoxCPM? dc_tts: Dormant. VoxCPM: 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 VoxCPM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [VoxCPM trust report](/tools/openbmb-voxcpm/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/_