Comparison
EmotiVoice vs TensorFlowTTS
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.
Markdown twin · EmotiVoice alternatives · TensorFlowTTS alternatives
GraphCanon updated Sep 20, 2026
Trust & integrity
| Signal | EmotiVoice | TensorFlowTTS |
|---|---|---|
| Maintenance | Active (16d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (806d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- EmotiVoice
- A Multi-Voice and Prompt-Controlled TTS Engine
- TensorFlowTTS
- Real-Time State-of-the-art Speech Synthesis for Tensorflow 2
Stars
- EmotiVoice
- 8.5k
- TensorFlowTTS
- 4.0k
Forks
- EmotiVoice
- 756
- TensorFlowTTS
- 797
Open issues
- EmotiVoice
- 137
- TensorFlowTTS
- 2
Language
- EmotiVoice
- Python
- TensorFlowTTS
- Python
Adopt for
- EmotiVoice
- 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
- TensorFlowTTS is notable for its real-time speech synthesis capabilities with support for multiple languages and advanced models like Tacotron2, FastSpeech2, MelGAN.
Persona
- EmotiVoice
- -
- TensorFlowTTS
- -
Runtime
- EmotiVoice
- -
- TensorFlowTTS
- -
License
- EmotiVoice
- Apache-2.0
- TensorFlowTTS
- Apache-2.0
Last pushed
- EmotiVoice
- Sep 3, 2026
- TensorFlowTTS
- Jul 5, 2024
Categories
- EmotiVoice
- Speech & Audio
- TensorFlowTTS
- Speech & Audio
Trust and health
Maintenance
- EmotiVoice
- Active (82%)
- TensorFlowTTS
- Dormant (18%)
Days since push
- EmotiVoice
- 16d
- TensorFlowTTS
- 806d
Open issues (now)
- EmotiVoice
- 137
- TensorFlowTTS
- 2
Stars delta
- EmotiVoice
- +27 (30d)
- TensorFlowTTS
- +2 (30d)
Owner type
- EmotiVoice
- User
- TensorFlowTTS
- Organization
OSV dependency advisories
- EmotiVoice
- No published findings from this source as of 2026-07-11
- TensorFlowTTS
- No lockfile (source not queried)
Full report
- EmotiVoice
- Trust report
- TensorFlowTTS
- Trust report
Shared compatibility
- Python · EmotiVoice: Python runtime · TensorFlowTTS: Python runtime
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.
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
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (netease-youdao/EmotiVoice) · observed Sep 20, 2026
- GitHub forks (netease-youdao/EmotiVoice) · observed Sep 20, 2026
- Last push (netease-youdao/EmotiVoice) · observed Sep 3, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (TensorSpeech/TensorFlowTTS) · observed Sep 20, 2026
- GitHub forks (TensorSpeech/TensorFlowTTS) · observed Sep 20, 2026
- Last push (TensorSpeech/TensorFlowTTS) · observed Jul 5, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: EmotiVoice 8.5k · TensorFlowTTS 4.0k (synced Sep 20, 2026).
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 and TensorFlowTTS alternatives (EmotiVoice markdown twin, TensorFlowTTS markdown twin), 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 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; TensorFlowTTS trust report.