# Rayhane-mamah/Tacotron-2

DeepMind's Tacotron-2 Tensorflow implementation

Repository: https://github.com/Rayhane-mamah/Tacotron-2
Canonical: https://ross.abutalabs.com/products/tacotron-2
Language: Python
License: MIT
License Family: permissive
Topics: tacotron, tensorflow, paper, python, speech-synthesis, text-to-speech, wavenet
Last push: 2023-07-06T21:18:43+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": 3178, "days_push": 1154, "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 2322, forks 898 (observed 2026-08-28T04:06:37.193179+00:00)

## What it is
A TensorFlow implementation of DeepMind's Tacotron-2 neural text-to-speech architecture, including both the Tacotron spectrogram predictor and WaveNet vocoder. It supports training on LJSpeech and M-AILABS-style datasets and provides pretrained models and audio samples.

## Use cases
- train a Tacotron-2 text-to-speech model on LJSpeech
- synthesize speech from text with a WaveNet vocoder
- reproduce the results of the Tacotron-2 paper in TensorFlow
- fine-tune a TTS model on M-AILABS speech data
- generate mel spectrograms and audio from a trained checkpoint

## When to choose
- you want a faithful, well-starred TensorFlow reproduction of the Tacotron-2 paper
- your dataset is LJSpeech or M-AILABS format
- you need both Tacotron and WaveNet training pipelines in one repo

## When to avoid
- you need a production-ready or actively maintained TTS system
- you prefer PyTorch or modern TTS frameworks
- your dataset is not LJSpeech-like and you don't want to write custom preprocessing

## Facets
- artifact type: library
- maturity: maintenance
- function: tts, machine-learning, deep-learning
- domain: speech-processing, deep-learning, machine-learning
- platform: python, cross-platform
- tags: tacotron-2, wavenet, tensorflow, speech-synthesis, text-to-speech, research-implementation, gpu

## Member repositories
- Rayhane-mamah/Tacotron-2 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:37.193179+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 2026-08-30T02:38:37.214896+00:00, confidence not recorded.
  - readme: https://github.com/Rayhane-mamah/Tacotron-2 (fetched 2026-08-28T04:06:37.193179+00:00, sha 89a7931ac949)
- Data as of 2026-08-30T08:39:29.467469+00:00.