# mozilla/TTS

:robot: :speech_balloon: Deep learning for Text to Speech  (Discussion forum: https://discourse.mozilla.org/c/tts)

Repository: https://github.com/mozilla/TTS
Canonical: https://ross.abutalabs.com/products/mozilla-tts
Language: Jupyter Notebook
License: MPL-2.0
License Family: copyleft
Topics: deep-learning, text-to-speech, python, pytorch, tacotron, tts, speaker-encoder, dataset-analysis, tacotron2, tensorflow2, vocoder, melgan, gantts, multiband-melgan, glow-tts, speech
Last push: 2023-11-09T15:37:59+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3144, "days_push": 1028, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10167, forks 1322 (observed 2026-08-28T04:10:39.728254+00:00)

## What it is
A deep learning library for advanced text-to-speech generation, built on PyTorch with models like Tacotron2, Glow-TTS, and various vocoders. It includes pretrained models, dataset analysis tools, and supports 20+ languages for products and research.

## Use cases
- convert text to natural sounding speech
- train a custom text-to-speech model on my own voice dataset
- generate speech audio in multiple languages
- run a pretrained TTS model offline
- analyze the quality of a speech dataset before training
- build a voice assistant with custom speech synthesis
- clone a speaker voice for TTS

## When to choose
- you need state-of-the-art TTS models with pretrained checkpoints
- you want to train or fine-tune speech synthesis models in Python/PyTorch
- you need multilingual text-to-speech for research or products
- you want dataset quality tools alongside TTS training

## When to avoid
- you need a lightweight production TTS API without deep learning dependencies
- you want simple rule-based speech synthesis with minimal setup
- you need actively developed features - the project is in maintenance mode (last release 2023)
- you need real-time low-latency TTS on constrained hardware

## Facets
- artifact type: library
- maturity: maintenance
- function: tts, deep-learning, machine-learning, speech-recognition, audio-processing
- domain: speech-processing, deep-learning, machine-learning
- platform: python, cross-platform
- tags: text-to-speech, pytorch, tacotron, vocoder, glow-tts, pretrained-models, voice-cloning, speech-synthesis, audio, gpu

## Member repositories
- mozilla/TTS (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:39.728254+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 2026-08-29T17:19:40.076271+00:00, confidence not recorded.
  - readme: https://github.com/mozilla/TTS (fetched 2026-08-28T04:10:39.728254+00:00, sha 4cc2b118f9f1)
- Data as of 2026-08-30T08:39:29.467469+00:00.