--- title: "dc_tts vs TensorFlowTTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-tensorspeech-tensorflowtts" tools: ["kyubyong-dc-tts", "tensorspeech-tensorflowtts"] --- # dc_tts vs TensorFlowTTS *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 TensorFlowTTS if tensorFlowTTS is notable for its real-time speech synthesis capabilities with support for multiple languages and advanced models like Tacotron2, FastSpeech2, MelGAN. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [TensorFlowTTS](https://tensorspeech.github.io/TensorFlowTTS/) has 4.0k stars, 798 forks, and 2 open issues, last pushed Jul 5, 2024. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [TensorFlowTTS's repository](https://github.com/TensorSpeech/TensorFlowTTS). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [TensorFlowTTS](/tools/tensorspeech-tensorflowtts.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 | | Stars | 1,156 | 3,993 | | Forks | 360 | 798 | | Open issues | 68 | 2 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | TensorFlowTTS is notable for its real-time speech synthesis capabilities with support for multiple languages and advanced models like Tacotron2, FastSpeech2, MelGAN. | | 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) | [TensorFlowTTS](/tools/tensorspeech-tensorflowtts.md) | | --- | --- | --- | | Days since push | 1203d | 754d | | Open issues (now) | 68 | 2 | | Owner type | User | Organization | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/tensorspeech-tensorflowtts/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: TensorFlowTTS - **Adopt for:** TensorFlowTTS is notable for its real-time speech synthesis capabilities with support for multiple languages and advanced models like Tacotron2, FastSpeech2, MelGAN. ## 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, tts. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### Choose TensorFlowTTS if… - Tags unique to TensorFlowTTS: chinese-tts, fastspeech, fastspeech2, german-tts. - TensorFlowTTS ships Docker support for self-hosted deployment. - When you need state-of-the-art real-time text-to-speech functionality across several languages including English, French, Korean, Chinese, German, ## 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 TensorFlowTTS - When you require a text-to-speech solution that works on operating systems other than Ubuntu 18.04 as it has been tested only on this specific environment - If your project cannot meet the hardware requirements such as needing CUDA 10.1 and CuDNN 7.6.5, or if you want to avoid dependency on TensorFlow-specific packages like TensorFlow Addons ## Common questions ### What is the difference between dc_tts and TensorFlowTTS? dc_tts: A TensorFlow Implementation of DC-TTS. TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over TensorFlowTTS? Choose dc_tts over TensorFlowTTS 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, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### When should I choose TensorFlowTTS over dc_tts? Choose TensorFlowTTS over dc_tts when Tags unique to TensorFlowTTS: chinese-tts, fastspeech, fastspeech2, german-tts; TensorFlowTTS ships Docker support for self-hosted deployment; When you need state-of-the-art real-time text-to-speech functionality across several languages including English, French, Korean, Chinese, German,. ### 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 TensorFlowTTS? When you require a text-to-speech solution that works on operating systems other than Ubuntu 18.04 as it has been tested only on this specific environment If your project cannot meet the hardware requirements such as needing CUDA 10.1 and CuDNN 7.6.5, or if you want to avoid dependency on TensorFlow-specific packages like TensorFlow Addons ### Is dc_tts or TensorFlowTTS more popular on GitHub? TensorFlowTTS has more GitHub stars (3,993 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and TensorFlowTTS open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, TensorFlowTTS: Apache-2.0). ### Where can I find alternatives to dc_tts or TensorFlowTTS? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [TensorFlowTTS alternatives](/tools/tensorspeech-tensorflowtts/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [TensorFlowTTS markdown twin](/tools/tensorspeech-tensorflowtts/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-tensorspeech-tensorflowtts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or TensorFlowTTS? dc_tts: Dormant. TensorFlowTTS: 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 TensorFlowTTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [TensorFlowTTS trust report](/tools/tensorspeech-tensorflowtts/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/_