diff --git a/pytta/classes/signal.py b/pytta/classes/signal.py
index c3ca83d..e91eda2 100644
--- a/pytta/classes/signal.py
+++ b/pytta/classes/signal.py
@@ -1594,7 +1594,7 @@ def _crossfade_spectruns(self, a, b, freqLims, freqVector):
         f1idx = np.where(freqVector <= f1)[0][-1]
         totalSamples = a.shape[0]
         xsamples = f1idx - f0idx
-        win = ss.hanning(2*xsamples)
+        win = ss.hann(2*xsamples)
 
         rightWin = win[xsamples-1:-1]
         fullRightWin = np.concatenate((np.ones(f0idx),
diff --git a/pytta/generate.py b/pytta/generate.py
index b65e615..1979f54 100644
--- a/pytta/generate.py
+++ b/pytta/generate.py
@@ -266,8 +266,8 @@ def __do_sweep_windowing(inputSweep,
     # exact sample where the chirp reaches freqMax [Hz]
     freqMaxSample = np.where(freqSweep <= freqMax)
     freqMaxSample = len(freqSweep) - freqMaxSample[-1][-1]
-    windowStart = ss.hanning(2*freqMinSample)
-    windowEnd = ss.hanning(2*freqMaxSample)
+    windowStart = ss.hann(2*freqMinSample)
+    windowEnd = ss.hann(2*freqMaxSample)
 
     # Uses first half of windowStart, last half of windowEnd, and a vector of
     # ones with the remaining length, in between the half windows
@@ -459,7 +459,7 @@ def __do_noise_windowing(inputNoise,
                          window):
     # sample equivalent to the first five percent of noise duration
     fivePercentSample = int((5/100) * (noiseSamples))
-    windowStart = ss.hanning(2*fivePercentSample)
+    windowStart = ss.hann(2*fivePercentSample)
     fullWindow = np.concatenate((windowStart[0:fivePercentSample],
                                  np.ones(int(noiseSamples-fivePercentSample))))
     newNoise = (fullWindow * inputNoise.T).T