diff --git a/docs/example.rst b/docs/example.rst
index a04c974..7532a65 100644
--- a/docs/example.rst
+++ b/docs/example.rst
@@ -113,7 +113,7 @@ resampy allows you to control the design of the filters used in resampling opera
     x, sr_orig = librosa.load(librosa.ex('trumpet'), sr=None, mono=False)
 
     # Resample to 22050Hz using a Hann-windowed sinc-filter
-    y = resampy.resample(x, sr_orig, sr_new, filter='sinc_window', window=scipy.signal.hann)
+    y = resampy.resample(x, sr_orig, sr_new, filter='sinc_window', window=scipy.signal.windows.hann)
 
     # Or a shorter sinc-filter than the default (num_zeros=64)
     y = resampy.resample(x, sr_orig, sr_new, filter='sinc_window', num_zeros=32)
diff --git a/resampy/core.py b/resampy/core.py
index 846dcb2..9db7ce8 100644
--- a/resampy/core.py
+++ b/resampy/core.py
@@ -81,7 +81,7 @@ def resample(
     >>> # Resample using a Hann-windowed sinc filter
     >>> import scipy.signal
     >>> resampy.resample(x, sr_orig, 22050, filter='sinc_window',
-    ...                  window=scipy.signal.hann)
+    ...                  window=scipy.signal.windows.hann)
     array([ 0.011,  0.123,  0.25 , ..., -0.366, -0.25 , -0.123])
 
     >>> # Generate stereo data
diff --git a/resampy/filters.py b/resampy/filters.py
index fe6a038..c118ea9 100644
--- a/resampy/filters.py
+++ b/resampy/filters.py
@@ -100,7 +100,7 @@ def sinc_window(num_zeros=64, precision=9, window=None, rolloff=0.945):
     >>> # A filter with 10 zero-crossings, 32 samples per crossing, and a
     >>> # Hann window for tapering.
     >>> halfwin, prec, rolloff = resampy.filters.sinc_window(num_zeros=10, precision=5,
-    ...                                                      window=scipy.signal.hann)
+    ...                                                      window=scipy.signal.windows.hann)
     >>> halfwin
     array([  9.450e-01,   9.436e-01, ...,  -7.455e-07,  -0.000e+00])
     >>> prec
@@ -111,7 +111,7 @@ def sinc_window(num_zeros=64, precision=9, window=None, rolloff=0.945):
     >>> # Or using sinc-window filter construction directly in resample
     >>> y = resampy.resample(x, sr_orig, sr_new, filter='sinc_window',
     ...                      num_zeros=10, precision=5,
-    ...                      window=scipy.signal.hann)              # doctest: +SKIP
+    ...                      window=scipy.signal.windows.hann)      # doctest: +SKIP
     '''
 
     if window is None:
diff --git a/scripts/create_filter.py b/scripts/create_filter.py
index 85ebf1b..7dce8dd 100755
--- a/scripts/create_filter.py
+++ b/scripts/create_filter.py
@@ -85,7 +85,7 @@ def parse_arguments(args):
 
 def get_window(beta=None, rolloff=None, num_zeros=None):
     """Build the full window from a specification"""
-    win = functools.partial(scipy.signal.kaiser, beta=beta)
+    win = functools.partial(scipy.signal.windows.kaiser, beta=beta)
     fil = resampy.filters.sinc_window(
         num_zeros=num_zeros, precision=1, window=win, rolloff=rolloff
     )[0]
@@ -157,7 +157,7 @@ def objective(trial, num_zeros, min_beta, max_beta, min_rolloff, attenuation):
     print("-" * 40)
     print(f"Objective value: {study.best_value:g}")
 
-    window = functools.partial(scipy.signal.kaiser, beta=study.best_params["beta"])
+    window = functools.partial(scipy.signal.windows.kaiser, beta=study.best_params["beta"])
     half_win, precision, roll = resampy.filters.sinc_window(
         num_zeros=params.num_zeros,
         precision=params.precision,