# Kyubyong/tacotron

A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

Repository: https://github.com/Kyubyong/tacotron
Canonical: https://ross.abutalabs.com/products/kyubyong-tacotron
Language: Python
License: Apache-2.0
License Family: permissive
Topics: tts, tensorflow, speech-synthesis-model, speech
Last push: 2022-01-17T20:46:22+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3397, "days_push": 1689, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1832, forks 427 (observed 2026-08-28T04:05:42.314928+00:00)

## What it is
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
- artifact type: library
- maturity: maintenance
- function: tts, deep-learning, machine-learning, audio-processing, speech-recognition
- domain: speech-processing, deep-learning, machine-learning
- platform: python
- tags: tacotron, tensorflow, speech-synthesis, text-to-speech, research-implementation, audio

## Member repositories
- Kyubyong/tacotron (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.314928+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:18:41.018596+00:00, confidence not recorded.
  - readme: https://github.com/Kyubyong/tacotron (fetched 2026-08-28T04:05:42.314928+00:00, sha 0ce2d38ad7e1)
- Data as of 2026-08-30T08:39:29.467469+00:00.