diff --git a/README.md b/README.md
index 8cefe8ee..f35a0015 100644
--- a/README.md
+++ b/README.md
@@ -105,6 +105,7 @@ model = ConvTasNet.build_from_pretrained(task="musdb18", sample_rate=44100, targ
 |:---:|:---:|:---:|
 | DANet | WSJ0-2mix | `model = DANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=2)` |
 | DANet | WSJ0-3mix | `model = DANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=3)` |
+| DANet (fixed attractor) | WSJ0-2mix | `model = FixedAttractorDANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=2)` |
 | ADANet | WSJ0-2mix | `model = ADANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=2)` |
 | ADANet | WSJ0-3mix | `model = ADANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=3)` |
 | LSTM-TasNet | WSJ0-2mix | `model = LSTMTasNet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=2)` |
diff --git a/README_ja.md b/README_ja.md
index 4ddfaf72..e80434ea 100644
--- a/README_ja.md
+++ b/README_ja.md
@@ -105,6 +105,7 @@ model = ConvTasNet.build_from_pretrained(task="musdb18", sample_rate=44100, targ
 |:---:|:---:|:---:|
 | DANet | WSJ0-2mix | `model = DANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=2)` |
 | DANet | WSJ0-3mix | `model = DANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=3)` |
+| DANet (fixed attractor) | WSJ0-2mix | `model = FixedAttractorDANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=2)` |
 | ADANet | WSJ0-2mix | `model = ADANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=2)` |
 | ADANet | WSJ0-3mix | `model = ADANet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=3)` |
 | LSTM-TasNet | WSJ0-2mix | `model = LSTMTasNet.build_from_pretrained(task="wsj0-mix", sample_rate=8000, n_sources=2)` |
diff --git a/src/models/danet.py b/src/models/danet.py
index f7168b13..dba20b09 100644
--- a/src/models/danet.py
+++ b/src/models/danet.py
@@ -482,7 +482,7 @@ def TimeDomainWrapper(cls, base_model, n_fft, hop_length=None, window_fn='hann')
         return FixedAttractorDANetTimeDomainWrapper(base_model, n_fft, hop_length=hop_length, window_fn=window_fn)
 
 class FixedAttractorDANetTimeDomainWrapper(nn.Module):
-    def __init__(self, base_model: DANet, n_fft, hop_length=None, window_fn='hann'):
+    def __init__(self, base_model: FixedAttractorDANet, n_fft, hop_length=None, window_fn='hann'):
         super().__init__()
 
         self.base_model = base_model