Use for loop in librispeech

README.md

@@ -262,17 +262,16 @@ The steps to run PyTorch-Kaldi on the Librispeech dataset are similar to that re
 . ./cmd.sh ## You'll want to change cmd.sh to something that will work on your system.
 . ./path.sh ## Source the tools/utils (import the queue.pl)
 
-chunk=train_clean_100
-#chunk=dev_clean # Uncomment to process dev
-#chunk=test_clean # Uncomment to process test
 gmmdir=exp/tri4b
 
-dir=fmllr/$chunk
-steps/nnet/make_fmllr_feats.sh --nj 10 --cmd "$train_cmd" \
-    --transform-dir $gmmdir/decode_tgsmall_$chunk \
-        $dir data/$chunk $gmmdir $dir/log $dir/data || exit 1
-
-compute-cmvn-stats --spk2utt=ark:data/$chunk/spk2utt scp:fmllr/$chunk/feats.scp ark:$dir/data/cmvn_speaker.ark
+for chunk in train_clean_100 dev_clean test_clean; do
+    dir=fmllr/$chunk
+    steps/nnet/make_fmllr_feats.sh --nj 10 --cmd "$train_cmd" \
+        --transform-dir $gmmdir/decode_tgsmall_$chunk \
+            $dir data/$chunk $gmmdir $dir/log $dir/data || exit 1
+
+    compute-cmvn-stats --spk2utt=ark:data/$chunk/spk2utt scp:fmllr/$chunk/feats.scp ark:$dir/data/cmvn_speaker.ark
+done
 ```
 
 3. compute aligmenents using: