diff --git a/README.md b/README.md
index 765dcc7..5b03adb 100644
--- a/README.md
+++ b/README.md
@@ -44,6 +44,8 @@ import torch
 # 🇮🇳 'h' => Hindi hi
 # 🇮🇹 'i' => Italian it
 # 🇯🇵 'j' => Japanese: pip install misaki[ja]
+# 🇳🇴 'nb' => Norwegian Bokmål nb
+# 🇳🇴 'nn' => Norwegian Nynorsk nn
 # 🇧🇷 'p' => Brazilian Portuguese pt-br
 # 🇨🇳 'z' => Mandarin Chinese: pip install misaki[zh]
 pipeline = KPipeline(lang_code='a') # <= make sure lang_code matches voice, reference above.
diff --git a/kokoro/__init__.py b/kokoro/__init__.py
index 9156e5c..6307ffc 100644
--- a/kokoro/__init__.py
+++ b/kokoro/__init__.py
@@ -1,3 +1,4 @@
+from misaki import espeak
 __version__ = '0.9.4'
 
 from loguru import logger
diff --git a/kokoro/custom_stft.py b/kokoro/custom_stft.py
index c9cf0d2..b412fcd 100644
--- a/kokoro/custom_stft.py
+++ b/kokoro/custom_stft.py
@@ -75,8 +75,8 @@ def __init__(
 
         # Precompute inverse DFT
         # Real iFFT formula => scale = 1/n_fft, doubling for bins 1..freq_bins-2 if n_fft even, etc.
-        # For simplicity, we won't do the "DC/nyquist not doubled" approach here. 
-        # If you want perfect real iSTFT, you can add that logic. 
+        # For simplicity, we won't do the "DC/nyquist not doubled" approach here.
+        # If you want perfect real iSTFT, you can add that logic.
         # This version just yields good approximate reconstruction with Hann + typical overlap.
         inv_scale = 1.0 / self.n_fft
         n = np.arange(self.n_fft)
diff --git a/kokoro/pipeline.py b/kokoro/pipeline.py
index 3377069..8a4d58e 100644
--- a/kokoro/pipeline.py
+++ b/kokoro/pipeline.py
@@ -16,6 +16,10 @@
     'hi': 'h',
     'it': 'i',
     'pt-br': 'p',
+    'no': 'nb',
+    'no-nb': 'nb',
+    'nn': 'nn',
+    'no-nn': 'nn',
     'ja': 'j',
     'zh': 'z',
 }
@@ -31,6 +35,8 @@
     h='hi',
     i='it',
     p='pt-br',
+    nb='nb',
+    nn='nn',
 
     # pip install misaki[ja]
     j='Japanese',
@@ -96,12 +102,10 @@ def __init__(
                 raise RuntimeError("CUDA requested but not available")
             if device == 'mps' and not torch.backends.mps.is_available():
                 raise RuntimeError("MPS requested but not available")
-            if device == 'mps' and os.environ.get('PYTORCH_ENABLE_MPS_FALLBACK') != '1':
-                raise RuntimeError("MPS requested but fallback not enabled")
             if device is None:
                 if torch.cuda.is_available():
                     device = 'cuda'
-                elif os.environ.get('PYTORCH_ENABLE_MPS_FALLBACK') == '1' and torch.backends.mps.is_available():
+                elif torch.backends.mps.is_available():
                     device = 'mps'
                 else:
                     device = 'cpu'