From 37611ddabc59ec53f33728fafd35f195e2cac912 Mon Sep 17 00:00:00 2001
From: Aleksi Papalitsas <aleksi.m.papalitsas@utu.fi>
Date: Wed, 22 Jun 2022 15:40:32 +0000
Subject: [PATCH] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 73650d9..73729fe 100644
--- a/README.md
+++ b/README.md
@@ -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.
-- 
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