diff --git a/deep_speech_2/decoder.py b/deep_speech_2/decoder.py
index fc746c705695833dd53c7fb8c4f9d263b4ba2852..96e9118112a0fae6e51b441a99bdc2fa3fb792b4 100755
--- a/deep_speech_2/decoder.py
+++ b/deep_speech_2/decoder.py
@@ -199,7 +199,7 @@ def ctc_beam_search_decoder_nproc(probs_split,
     '''
     Beam search decoder using multiple processes.
 
-    :param probs_seq: 3-D list with length num_time_steps, each element
+    :param probs_seq: 3-D list with length batch_size, each element
                       is a 2-D list of  probabilities can be used by
                       ctc_beam_search_decoder.
 
diff --git a/deep_speech_2/infer.py b/deep_speech_2/infer.py
index 377aeb73cf9dd81eea05fceab0ef66e6420eac8c..0be89e617aae92691220e9981055867fad522d9b 100644
--- a/deep_speech_2/infer.py
+++ b/deep_speech_2/infer.py
@@ -189,7 +189,7 @@ def infer():
             wer_counter += 1
             print("cur wer = %f , average wer = %f" %
                   (wer_cur, wer_sum / wer_counter))
-    # beam search in multiple processes
+    # beam search using multiple processes
     elif args.decode_method == "beam_search_nproc":
         ext_scorer = Scorer(args.alpha, args.beta, args.language_model_path)
         beam_search_nproc_results = ctc_beam_search_decoder_nproc(