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Mimic Recording Studio is a Docker-based application you can install to record voice samples, which can then be trained into a TTS voice with Mimic2
| Date | Stars |
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| 2026-07-24 | 514 |
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| 2026-09-20 | 517 |
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# Mimic Recording Studio
- [Mimic Recording Studio](#mimic-recording-studio)
* [Software Quick Start](#software-quick-start)
+ [Windows self-hosted Quick Start](#windows-self-hosted-quick-start)
+ [Linux/Mac self-hosted Quick Start](#linuxmac-self-hosted-quick-start)
- [Install Dependencies](#install-dependencies)
- [Build and Run](#build-and-run)
+ [Manual Install, Build and Start](#manual-install--build-and-start)
- [Backend](#backend)
* [Dependencies](#dependencies)
* [Build & Run](#build---run)
- [Frontend](#frontend)
* [Dependencies](#dependencies-1)
* [Build & Run](#build---run-1)
+ [Coming soon!](#coming-soon-)
* [Data](#data)
+ [Audio Recordings](#audio-recordings)
- [WAV files](#wav-files)
- [{uuid}-metadata.txt](#-uuid--metadatatxt)
+ [Corpus](#corpus)
- [Corpora in other languages](#corpora-in-other-languages)
* [Technologies](#technologies)
+ [Frontend](#frontend-1)
- [Functions](#functions)
+ [Backend](#backend-1)
- [Functions](#functions-1)
+ [Docker](#docker)
- [Recording Tips](#recording-tips)
- [Advanced](#advanced)
* [Query database structure](#query-database-structure)
* [Table "audiomodel"](#table-"audiomodel")
* [Table "usermodel"](#table-"usermodel")
* [Modify recorder uuid](#modify-recorder-uuid)
- [Providing your recording to Mycroft for training](#providing-your-recording-to-mycroft-for-training)
- [Contributions](#contributions)
- [Where to get support and assistance](#where-to-get-support-and-assistance)
The [Mycroft](https://mycroft.ai) open source Mimic technologies are
Text-to-Speech engines which take a piece of written text and convert it into
spoken audio. The latest generation of this technology,
[Mimic 2](https://github.com/MycroftAI/mimic2), uses machine learning techniques
to create a model which can speak a specific language, sounding like the voice
on which it was trained.
The Mimic Recording Studio simplifies the collection of training data from
individuals, each of which can be used to produce a distinct voice for Mimic.
## Software Quick Start
### Windows self-hosted Quick Start
* `git clone https://github.com/MycroftAI/mimic-recording-studio.git`
* `cd mimic-recording-studio`
* `start-windows.bat`
### Linux/Mac self-hosted Quick Start
#### Install Dependencies
* [Docker](https://docs.docker.com/) (community edition is fine)
* [Docker Compose](https://docs.docker.com/compose/install/)
Why docker? To make this super easy to set up and run cross platforms.
#### Build and Run
* `git clone https://github.com/MycroftAI/mimic-recording-studio.git`
* `cd mimic-recording-studio`
* `docker-compose up` to build and run (_Note: You may need to use `sudo docker-compose up` depending on your distribution_)
Alternatively, you can build and run separately. `docker-compose build` then `docker-compose up`
* In your browser, go to `http://localhost:3000`
**Note:**
The first execution of `docker-compose up` will take a while as this command will also build the docker containers. Subsequent executions of `docker-compose up` should be quicker to boot.
### Manual Install, Build and Start
#### Backend
##### Dependencies
* python 3.5 +
* [ffmpeg](https://www.ffmpeg.org/)
##### Build & Run
* `cd backend/`
* `pip install -r requirements.txt`
* `python run.py`
#### Frontend
##### Dependencies
* [node & npm](https://nodejs.org/en/)
* [create-react-app](https://github.com/facebook/create-react-app)
* [yarn](https://yarnpkg.com/en/) - optional for faster build, install, and start
##### Build & Run
* `cd frontend/`
* `npm install`, alternatively `yarn install`
* `npm start`, alternatively `yarn start`
### Coming soon!
Online, http://mimic.mycroft.ai hosted version requiring zero setup.
## Data
### Audio Recordings
#### WAV files
Audio is saved as WAV files to the `backend/audio_file/{uuid}/` directory. The
backend automExcerpt of 11,687 characters
Read on GitHub
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Kris Gesling · Mycroft AI · Australia
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Thorsten Müller · Germany
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Åke · Leine Linde · Sweden
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:233f4d8ed71d72d5, topic:tts, readme:text-to-speech