TensorFlowTTS
The facts below are what the maker publishes about TensorFlowTTS, checked and dated. Our editors have not written about it yet.
The facts
Each one read from TensorFlowTTS's own pages, with the date it was checked.
What it does
- Architectures
- Supported architectures include Tacotron-2, MelGAN, Multiband-MelGAN, FastSpeech, FastSpeech 2, Parallel WaveGAN, and HiFi-GAN.checked 13 Oct 2026
- Commercial use
- Yeschecked 20 Sep 2026
- Data compatibility
- Its preprocessing is based on ESPnet, and the README says the resulting data can be combined with models from the ESPnet repository.checked 13 Oct 2026
- Datasets
- The documented preprocessing currently supports LJSpeech, KSS, Baker, LibriTTS, Thorsten, and Synpaflex datasets.checked 12 Oct 2026
- Deployment
- The project supports TFLite conversion, C++ inference, and deployment to mobile devices or embedded systems.checked 13 Oct 2026
- Export formats
- WAVchecked 20 Sep 2026
- Installation
- The project documents installation with pip or from its GitHub source repository.checked 12 Oct 2026
- Integrations
- The project documents integration with Hugging Face Spaces and Gradio, and hosting pretrained models on the Hugging Face Hub.checked 13 Oct 2026
- Languages
- The README lists Chinese, Korean, English, French, and German support, and says the framework can be adapted for other languages.checked 13 Oct 2026
- License
- The repository states that its models are licensed under Apache 2.0.checked 13 Oct 2026
- Mobile examples
- The README includes an Android example and reports iOS support for FastSpeech 2 and MB MelGAN.checked 13 Oct 2026
- Model reuse
- Pretrained models can be loaded from Hugging Face Hub using the project’s inference API.checked 12 Oct 2026
- Models
- It provides Tacotron-2, MelGAN, Multiband-MelGAN, FastSpeech, FastSpeech 2, Parallel WaveGAN, and HiFi-GAN architectures.checked 12 Oct 2026
- Purpose
- TensorFlowTTS provides real-time speech synthesis architectures built on TensorFlow 2.checked 13 Oct 2026
- Requirements
- The repository says it was tested on Ubuntu 18.04 with Python 3.7 or later and TensorFlow versions 2.2 through 2.6.checked 13 Oct 2026
- Support
- The README provides project contact email addresses and links to tutorials, notebooks, and Colab examples.checked 13 Oct 2026
- Supported datasets
- The README lists ljspeech, kss, baker, libritts, thorsten, and synpaflex for preprocessing, with reformatting instructions for some datasets.checked 13 Oct 2026
- Training
- Features include mixed-precision training and single- or multi-GPU training and gradient accumulation.checked 13 Oct 2026
- Use case
- The project describes itself as suitable for speech synthesis research, training or fine-tuning TTS models, and deployment.checked 12 Oct 2026
Where it runs
- Platforms
- Linux,iOS,Androidchecked 20 Sep 2026
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