Botium Speech Processing is a unified, developer-friendly API to the best available Speech-To-Text and Text-To-Speech services.
This is a get-shit-done-style collection of the best free and Open Source speech recognition products, the configuration options are rudimentary: it is highly opinionated about the included tools, just get the shit done.
- With Kaldi a reasonable speech recogniction performance is available with freely available data sources.
- MaryTTS is currently the best freely available speech synthesis software
- SoX is the swiss army-knife for audio file processing
While the included tools in most cases cannot compete with the big cloud-based products, for lots of applications the trade-off between price and quality is at least reasonable.
Read about the project history here
Some examples what you can do with this:
- Synthesize audio tracks for Youtube tutorials
- Build voice-enabled chatbot services (for example, IVR systems)
- Classification of audio file transcriptions
- Automated Testing of Voice services with Botium
- Several gigs of RAM and 40GB free HD space
- Internet connectivity
- docker
- docker-compose
Clone or download this repository and start with docker-compose:
> docker-compose up -d
This will take some time to build.
Point your browser to http://127.0.0.1 to open the Swagger UI and browse/use the API definition.
This repository includes a reasonable default configuration:
- Use MaryTTS for TTS
- Use Kaldi for STT
- Use SoX for audio file conversion
Configuration changes with environment variables. See comments in this file.
Recommendation: Do not change the .env file but create a .env.local file to overwrite the default settings. This will prevent troubles on future git pull
The environment variable BOTIUM_API_TOKENS contains a list of valid API Tokens accepted by the server (separated by whitespace or comma). The HTTP Header BOTIUM_API_TOKEN is validated on each call to the API.
Point your browser to http://127.0.0.1/dictate to open a rudimentary dictate.js-interface for testing speech recognition.
Attention: in Google Chrome this only works with services published as HTTPS, you will have to take of this yourself. For example, you could publish it via ngrok tunnel.
Point your browser to http://127.0.0.1/tts to open a MaryTTS interface for testing speech synthesis.
See swagger.json:
-
HTTP POST to /api/stt/{language} for Speech-To-Text
curl -X POST "http://127.0.0.1/api/stt/en" -H "Content-Type: audio/wav" -T sample.wav
-
HTTP GET to /api/tts/{language}?text=... for Text-To-Speech
curl -X GET "http://127.0.0.1/api/tts/en?text=hello%20world" -o tts.wav
-
HTTP POST to /api/convert/{profile} for audio file conversion
curl -X POST "http://127.0.0.1/api/convert/mp3tomonowav" -H "Content-Type: audio/mp3" -T sample.mp3 -o sample.wav
To be done: contribution guidelines.
We are open to any kind of contributions and are happy to discuss, review and merge pull requests.
This project is standing on the shoulders of giants.
- Kaldi GStreamer server and Docker images
- MaryTTS
- SVOX Pico Text-to-Speech
- Kaldi
- Kaldi Tuda Recipe
- Deepspeech and Deepspeech German
- SoX
- dictate.js