diff --git a/recipes/GigaSpeech/ASR/CTC/train_with_wavlm.py b/recipes/GigaSpeech/ASR/CTC/train_with_wavlm.py
index d2c1dc8152..60e1f6bb4a 100644
--- a/recipes/GigaSpeech/ASR/CTC/train_with_wavlm.py
+++ b/recipes/GigaSpeech/ASR/CTC/train_with_wavlm.py
@@ -44,7 +44,7 @@ def compute_forward(self, batch, stage):
 
         # Forward pass
 
-        # Handling SpeechBrain vs HuggingFance pretrained models
+        # Handling SpeechBrain vs HuggingFace pretrained models
         if hasattr(self.modules, "extractor"):  # SpeechBrain pretrained model
             latents = self.modules.extractor(wavs)
             feats = self.modules.encoder_wrapper(latents, wav_lens=wav_lens)[
diff --git a/recipes/LibriSpeech/ASR/CTC/train_with_wav2vec_k2.py b/recipes/LibriSpeech/ASR/CTC/train_with_wav2vec_k2.py
index 3501a268fa..2ddc4b72be 100644
--- a/recipes/LibriSpeech/ASR/CTC/train_with_wav2vec_k2.py
+++ b/recipes/LibriSpeech/ASR/CTC/train_with_wav2vec_k2.py
@@ -55,7 +55,7 @@ def compute_forward(self, batch, stage):
 
         # Forward pass
 
-        # Handling SpeechBrain vs HuggingFance pretrained models
+        # Handling SpeechBrain vs HuggingFace pretrained models
         if hasattr(self.modules, "extractor"):  # SpeechBrain pretrained model
             latents = self.modules.extractor(wavs)
             feats = self.modules.encoder_wrapper(latents, wav_lens=wav_lens)[