diff --git a/tortoise/api.py b/tortoise/api.py
index 2f987ad..65c7d6e 100644
--- a/tortoise/api.py
+++ b/tortoise/api.py
@@ -165,7 +165,7 @@ class TextToSpeech:
     Main entry point into Tortoise.
     """
 
-    def __init__(self, autoregressive_batch_size=16, models_dir='.models', enable_redaction=False):
+    def __init__(self, autoregressive_batch_size=16, models_dir='.models', enable_redaction=True):
         """
         Constructor
         :param autoregressive_batch_size: Specifies how many samples to generate per batch. Lower this if you are seeing
diff --git a/tortoise/utils/wav2vec_alignment.py b/tortoise/utils/wav2vec_alignment.py
index 4a05659..bfcb7e1 100644
--- a/tortoise/utils/wav2vec_alignment.py
+++ b/tortoise/utils/wav2vec_alignment.py
@@ -50,7 +50,7 @@ class Wav2VecAlignment:
     def __init__(self):
         self.model = Wav2Vec2ForCTC.from_pretrained("jbetker/wav2vec2-large-robust-ft-libritts-voxpopuli").cpu()
         self.feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained(f"facebook/wav2vec2-large-960h")
-        self.tokenizer = Wav2Vec2CTCTokenizer.from_pretrained('jbetker/tacotron_symbols')
+        self.tokenizer = Wav2Vec2CTCTokenizer.from_pretrained('jbetker/tacotron-symbols')
 
     def align(self, audio, expected_text, audio_sample_rate=24000):
         orig_len = audio.shape[-1]