--- title: "EmotiVoice vs TensorFlowTTS" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/netease-youdao-emotivoice-vs-tensorspeech-tensorflowtts" tools: ["netease-youdao-emotivoice", "tensorspeech-tensorflowtts"] --- # EmotiVoice vs TensorFlowTTS *GraphCanon updated Sep 20, 2026* ## Verdict Pick EmotiVoice if emotiVoice is an emotion-driven text-to-speech engine that emphasizes voice diversity and prompt control, allowing users to generate speech with varied emotions and speaking styles; 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. [EmotiVoice](https://github.com/netease-youdao/EmotiVoice) reports 8.5k GitHub stars, 756 forks, and 137 open issues, last pushed Sep 3, 2026. [TensorFlowTTS](https://tensorspeech.github.io/TensorFlowTTS/) has 4.0k stars, 797 forks, and 2 open issues, last pushed Jul 5, 2024. Figures are from public GitHub metadata via [EmotiVoice's repository](https://github.com/netease-youdao/EmotiVoice) and [TensorFlowTTS's repository](https://github.com/TensorSpeech/TensorFlowTTS). | | [EmotiVoice](/tools/netease-youdao-emotivoice.md) | [TensorFlowTTS](/tools/tensorspeech-tensorflowtts.md) | | --- | --- | --- | | Tagline | A Multi-Voice and Prompt-Controlled TTS Engine | Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 | | Stars | 8,528 | 3,995 | | Forks | 756 | 797 | | Open issues | 137 | 2 | | Language | Python | Python | | Adopt for | EmotiVoice is an emotion-driven text-to-speech engine that emphasizes voice diversity and prompt control, allowing users to generate speech with varied emotions and speaking styles. | 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._ | | [EmotiVoice](/tools/netease-youdao-emotivoice.md) | [TensorFlowTTS](/tools/tensorspeech-tensorflowtts.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 16d | 806d | | Open issues (now) | 137 | 2 | | Stars delta | +27 (30d) | +2 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/netease-youdao-emotivoice/trust.md) | [trust report](/tools/tensorspeech-tensorflowtts/trust.md) | ## Shared compatibility - **Python**: [EmotiVoice](/tools/netease-youdao-emotivoice.md) - Python runtime; [TensorFlowTTS](/tools/tensorspeech-tensorflowtts.md) - Python runtime ## Decision facts: EmotiVoice - **Adopt for:** EmotiVoice is an emotion-driven text-to-speech engine that emphasizes voice diversity and prompt control, allowing users to generate speech with varied emotions and speaking styles. ## 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 EmotiVoice if… - Tags unique to EmotiVoice: ai, deep-learning, emotion, multispeaker. - When you need a TTS solution capable of handling multiple speaker voices in a single project - More GitHub stars (8.5k vs 4.0k) - visibility, not fit. ### Choose TensorFlowTTS if… - Tags unique to TensorFlowTTS: chinese-tts, fastspeech, fastspeech2, german-tts. - When you need state-of-the-art real-time text-to-speech functionality across several languages including English, French, Korean, Chinese, German, - Leaner open-issue backlog (2). ## When NOT to use EmotiVoice - For setups without access to an NVidia GPU, as EmotiVoice requires one for running its Docker image - When deploying applications that have strict latency requirements and cannot accommodate the startup time of a Docker container or the processing demands of GPU computations ## 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 EmotiVoice and TensorFlowTTS? EmotiVoice: A Multi-Voice and Prompt-Controlled TTS Engine. 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 EmotiVoice over TensorFlowTTS? Choose EmotiVoice over TensorFlowTTS when Tags unique to EmotiVoice: ai, deep-learning, emotion, multispeaker; When you need a TTS solution capable of handling multiple speaker voices in a single project; More GitHub stars (8.5k vs 4.0k) - visibility, not fit. ### When should I choose TensorFlowTTS over EmotiVoice? Choose TensorFlowTTS over EmotiVoice when Tags unique to TensorFlowTTS: chinese-tts, fastspeech, fastspeech2, german-tts; When you need state-of-the-art real-time text-to-speech functionality across several languages including English, French, Korean, Chinese, German,; Leaner open-issue backlog (2). ### When should I avoid EmotiVoice? For setups without access to an NVidia GPU, as EmotiVoice requires one for running its Docker image When deploying applications that have strict latency requirements and cannot accommodate the startup time of a Docker container or the processing demands of GPU computations ### 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 EmotiVoice or TensorFlowTTS more popular on GitHub? EmotiVoice has more GitHub stars (8,528 vs 3,995). Stars measure visibility, not whether either tool fits your constraints. ### Are EmotiVoice and TensorFlowTTS open source? Yes - both are open-source projects on GitHub (EmotiVoice: Apache-2.0, TensorFlowTTS: Apache-2.0). ### Where can I find alternatives to EmotiVoice or TensorFlowTTS? GraphCanon lists graph-backed alternatives at [EmotiVoice alternatives](/tools/netease-youdao-emotivoice/alternatives) and [TensorFlowTTS alternatives](/tools/tensorspeech-tensorflowtts/alternatives) ([EmotiVoice markdown twin](/tools/netease-youdao-emotivoice/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/netease-youdao-emotivoice-vs-tensorspeech-tensorflowtts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, EmotiVoice or TensorFlowTTS? EmotiVoice: Active. 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 EmotiVoice and TensorFlowTTS? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [EmotiVoice trust report](/tools/netease-youdao-emotivoice/trust); [TensorFlowTTS trust report](/tools/tensorspeech-tensorflowtts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=netease-youdao-emotivoice`](/api/graphcanon/graph?tool=netease-youdao-emotivoice) - 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/_