This Repository contains Docker- and Makefiles to build production images for the SUMMA ASR Module.
The ASR engines provided here are provided as Docker images. Whatever you do, you will have to be able to run Docker on your host.
The easiest way to use SUMMA ASR engine is to use the pre-compiled Docker images. Our docker images are designed to be used within the Open-source SUMMA Platform and by default act as workers on a RabbitMQ message queue.
They can be used offline as follows. Suppose you have a .wav file test.wav
in German. Then run
docker run --rm -t -v /path/to/test.wav:/test.wav summaplatform/asr-de ./transcribe.py /model /test.wav
The output will consit of one word of transcription per line
<offset from start of file> <token duration> <token>
Currently available engines:
- German: summaplatform/asr-de
- Spanish: summaplatform/asr-es
- Farsi: summaplatform/asr-fa
- Latvian: summaplatform/asr-lv
- Portuguese: summaplatform/asr-pt
- Russian: summaplatform/asr-ru
- Ukranian: summaplatform/asr-uk
To use one of the dockerized ASR engines, you need to combine the SUMMA ASR Engine with a specific model. Models for the following languages are available as Docker images:
| Language | Image |
|---|---|
| German | summaplatform/asr-model-de:v2 |
| Spanish | summaplatform/asr-model-es:v1.1 |
| Farsi | summaplatform/asr-model-fa:v2 |
| Latvian | summaplatform/asr-model-lv:v1 |
| Portuguese | summaplatform/asr-model-pt:v1 |
| Russian | summaplatform/asr-model-ru:v1 |
| Ukrainian | summaplatform/asr-model-uk:v1.0 |
The easiest way to build an image is through make:
make asr-engine-<Language Tag>
We use a staged build to build the engine image.
First, we build an image that can build the ASR engine. This is a lengthy process, try pulling `summaplatform/asr-builder first before you build from scratch.
make builder
Once we have the build environment, we build a second image with only the things that are needed to run the ASR engine in production.
make engine
The second image (summaplatform/asr-engine) is the one that should
be made available on dockerhub.