@@ -8,7 +8,7 @@ A commonvoice-fi recipe for training ASR engine using Kaldi. The following recip
Use docker to run the container. **GPU is required** to train `tdnn_chain`, else the script can train only up to `tri3b`.
## Downloading SRILM
Before building docker, SRILM file need to be downloaded. You can download it from [here](http://www.speech.sri.com/projects/srilm/download.html). Once the file is downloaded, remove version name (e.g. from `srilm-1.7.3.tar.gz` to `srilm.tar.gz` and place it inside `docker` directory. Your `docker` directory should contains 2 files: `dockerfile`, and `srilm.tar.gz`.
Before building docker, SRILM file needs to be downloaded. You can download it from [here](http://www.speech.sri.com/projects/srilm/download.html). Once the file is downloaded, remove version name (e.g. from `srilm-1.7.3.tar.gz` to `srilm.tar.gz` and place it inside `docker` directory. Your `docker` directory should contain 2 files: `dockerfile`, and `srilm.tar.gz`.
## Run docker and attach command line
Since gpu is required you are going to need the kaldi-gpu-image.
