Extension:Wikispeech/Installing Speechoid

Speechoid is the text-to-speech backend of Wikispeech. It consists of a number of services controlled via Wikispeech-server. The Speechoid build pipeline use Blubber to create Docker images which is meant to be deployed on for instance a Kubernetes cluster, but there is also a Compose project for easy deployment on development servers and small installations.

Please report any errors you encounter in the discussion of this wikipage.

Pre built images


All the Speechoid services are a part of the Wikimedia CI pipeline, and all builds are available in the Wikimedia docker registry. You probably don't need to build your own images.

Building images




This guide is based on the setup used by the Wikispeech development team that use Ubuntu (18, 19 and 20) as workstations and Debian (10) server side.

  • Docker
  • Blubber - We strongly recommend using the prebuilt binary. Make sure it's available in your $PATH, e.g. by copying it to /usr/local/bin.

Using the build script


The docker-compose project comes with a script that will download and build all services for you.

git clone https://github.com/Wikimedia-Sverige/wikispeech-speechoid-docker-compose.git cd wikispeech-speechoid-docker-compose ./create-all-images.sh

Manually building images


Each service lives in its own git repository at gerrit.wikimedia.org:

git clone "https://gerrit.wikimedia.org/r/mediawiki/services/wikispeech/mary-tts" git clone "https://gerrit.wikimedia.org/r/mediawiki/services/wikispeech/mishkal" git clone "https://gerrit.wikimedia.org/r/mediawiki/services/wikispeech/pronlex" git clone "https://gerrit.wikimedia.org/r/mediawiki/services/wikispeech/symbolset" git clone "https://gerrit.wikimedia.org/r/mediawiki/services/wikispeech/wikispeech-server"

Each service contains a Blubber-helper script that prepare the image.

cd some-service

Starting Speechoid


Using compose


The easiest way is to spin it up using Docker compose:

git clone https://github.com/Wikimedia-Sverige/wikispeech-speechoid-docker-compose cd wikispeech-speechoid-docker-compose ./run.sh

If you built your own images you'll need up update the compose file to correspond with your image build tags.

After a little while Wikispeech server should be available as an HTTP service on port 10000.

Manually starting Speechoid


As of writing this documentation, there is no ready to go pipeline for starting up in other environments. Speechoid will, when ready for production, be deployed on a Kubernetes cluster.

Setting up on WMF Cloud VPS


These instructions are for Debian 10 on WMF cloud VPS services, but should be rather generic and reusable for most environments.

Clone and prepare Speechoid docker-compose


Install Docker Compose following the instructions on https://docs.docker.com/compose/install/.

sudo su mkdir /etc/docker-compose cd /etc/docker-compose git clone https://github.com/Wikimedia-Sverige/wikispeech-speechoid-docker-compose.git speechoid cd speechoid mkdir -p volumes/wikispeech_mockup_tmp chmod a+rwx volumes/wikispeech_mockup_tmp

Setup as systemd service


The following will automatically start Speechoid on boot.

# sudo su
# cat << EOF > /etc/systemd/system/docker-compose\@.service
Description=docker-compose %i service
Requires=docker.service network-online.target
After=docker.service network-online.target

ExecStart=/usr/bin/docker compose up
ExecStop=/usr/bin/docker compose down


# systemctl enable docker-compose@speechoid
# systemctl start docker-compose@speechoid

Setup web proxy


You'll now need to setup an HTTP proxy pass to Speechoid on port 10000. Alternatively you could setup a floating IP, but that isn't covered by this guide.

Go to https://horizon.wikimedia.org/project/proxy/ and click the Create Proxy-button. Fill in the information about your VPS and use backend port 10000. Speechoid should now be publicly available as HTTP and HTTPS on port 80 and 443.

To enable transcription preview on Special:EditLexicon, the Symbolset server also needs to be accessible. This is done as above, but the port is 8771.

Pronlex on MariaDB


Out of the box, Pronlex will run on a build in SQLite database. There is also support for MariaDB/MySQL.

If you don't have a MariaDB installed:

sudo apt -y update
sudo apt -y install software-properties-common gnupg2
sudo apt -y upgrade
sudo reboot

Setup your favorite mirror: (I used Kenya for no reason. You might want something more local or more trusted.)

sudo apt-key adv --recv-keys --keyserver keyserver.ubuntu.com 0xF1656F24C74CD1D8 sudo add-apt-repository 'deb [arch=amd64] http://mariadb.mirror.liquidtelecom.com/repo/10.4/debian buster main' sudo apt update

Install MariaDB.

sudo apt install mariadb-server mariadb-client

Secure, but don't set a root password. Pronlex expects this (?! really ?!) and will create a user and databases further down.

sudo mysql_secure_installation

Install and setup GoLang.

sudo apt install build-essential gcc cd ~ mkdir opt wget https://dl.google.com/go/go1.13.linux-amd64.tar.gz -O /tmp/go1.13.linux-amd64.tar.gz cd opt tar xvfz /tmp/go1.13.linux-amd64.tar.gz export GOROOT=~/opt/go export GOPATH=~/opt/goProjects export PATH=${GOPATH}/bin:${GOROOT}/bin:${PATH}

Install and build Pronlex.

cd ~ git clone https://github.com/wikimedia/mediawiki-services-wikispeech-pronlex.git cd ~/mediawiki-services-wikispeech-pronlex go build ./...

Populate MariaDB with Lexdata.

cd ~ git clone https://github.com/stts-se/wikispeech-lexdata.git /bin/bash scripts/import.sh -a ~/appdir -e mariadb -l 'speechoid:@tcp(' -f ~/wikispeech-lexdata


(You might want to set a password for the MariaDB user speechoid at this point)

(You might want to create a user for remote access for the MariaDB user speechoid using the same password and grants at this point)

(You can now delete all GoLang, Pronlex and Lexdata folders if you want.)

Start the Prolex in your Speechoid pointing it at this MariaDB. Something like:

/bin/bash scripts/start_server.sh -a /srv/appdir -e mariadb -l 'speechoid:password@tcp(wikispeech-tts-pronlex:3306)'

If you are running from docker-compose, you simply uncomment and update the environment variable PRONLEX_MARIADB_URI under section pronlex in the compose file.