Kyubyong/tacotron

Health v2 · maintenance only

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Adoption not part of the score

1832 stars · 427 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A heavily documented TensorFlow implementation of Tacotron, a fully end-to-end text-to-speech synthesis model. It includes training, preprocessing, and synthesis scripts with pretrained checkpoints for datasets like LJ Speech.

Use cases

• train a text-to-speech model on my own voice dataset
• synthesize speech from text using tacotron
• reproduce the tacotron paper in tensorflow
• generate audio samples from harvard sentences
• experiment with end-to-end tts architectures
• fine-tune a speech synthesis model on lj speech

When to choose

• you want a readable, well-commented reference implementation of Tacotron for research or learning
• you need to train TTS on LJ Speech or similar English audiobook datasets with TensorFlow 1.x
• you want pretrained checkpoints to quickly synthesize speech samples

When to avoid

• you need a production TTS system with modern architectures like Tacotron 2, FastSpeech, or VITS
• you work with TensorFlow 2.x or PyTorch and cannot use legacy TF 1.x code
• you need multilingual or real-time low-latency synthesis

Facets

library · maturity maintenance

tts deep-learning machine-learning audio-processing speech-recognition speech-processing deep-learning machine-learning python tacotron tensorflow speech-synthesis text-to-speech research-implementation audio

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