TensorSpeech/TensorFlowTTS

Health v2 · maintenance only

Adoption not part of the score

3995 stars · 797 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

TensorFlowTTS is a Python library providing real-time state-of-the-art text-to-speech architectures (Tacotron-2, FastSpeech/FastSpeech2, MelGAN, Multi-band MelGAN, HiFi-GAN) implemented in TensorFlow 2. It supports multiple languages including English, French, Korean, Chinese, German, and Japanese, and models can be quantized and converted to TFLite for mobile and embedded deployment.

Use cases

• convert text to speech in python
• train a custom tts model
• deploy text-to-speech on mobile with tflite
• generate speech in chinese or korean
• run fastspeech2 with a melgan vocoder
• build a multilingual voice synthesis app
• real-time speech synthesis on embedded devices

When to choose

• you need TTS models in the TensorFlow 2 ecosystem
• you want to deploy speech synthesis to mobile or embedded via TFLite
• you need pretrained models for several languages
• you want to experiment with FastSpeech2, Tacotron-2, or MelGAN-family vocoders

When to avoid

• you prefer PyTorch-based TTS tooling
• you need actively developed cutting-edge features (development has slowed)
• you need production voice cloning or emotional TTS out of the box

Facets

library · maturity maintenance

tts speech-recognition deep-learning machine-learning audio-processing speech-processing machine-learning python cross-platform text-to-speech tensorflow2 vocoder fastspeech2 tacotron2 melgan hifi-gan tflite multilingual real-time-synthesis audio natural-language-processing mobile gpu

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markdown · JSON · MCP: product_card(name="TensorSpeech/TensorFlowTTS")