diff --git a/doc/api/next_api_changes/behavior/17897-KLP.rst b/doc/api/next_api_changes/behavior/17897-KLP.rst
new file mode 100644
index 000000000000..f53534e8d1b9
--- /dev/null
+++ b/doc/api/next_api_changes/behavior/17897-KLP.rst
@@ -0,0 +1,11 @@
+pyplot.specgram always uses origin='upper'
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Previously if ``image.origin`` was set to something other than 'upper' or if the 
+``origin`` keyword argument was passed with a value other than 'upper', the spectrogram 
+itself would flip, but the axes would remain oriented for an origin value of 'upper', so 
+that the resulting plot was incorrectly labelled.
+
+Now, the ``origin`` keyword argument is not supported and the ``image.origin`` rcParam is 
+ignored. The function matplotlib.pyplot.specgram is forced to use ``origin='upper'``, so 
+that the axes are correct for the plotted spectrogram.
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
index 40cd2aefa911..4e2c1cab9173 100644
--- a/lib/matplotlib/axes/_axes.py
+++ b/lib/matplotlib/axes/_axes.py
@@ -7464,7 +7464,8 @@ def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
 
         **kwargs
             Additional keyword arguments are passed on to `~.axes.Axes.imshow`
-            which makes the specgram image.
+            which makes the specgram image. The origin keyword argument
+            is not supported.
 
         Returns
         -------
@@ -7548,8 +7549,13 @@ def specgram(self, x, NFFT=None, Fs=None, Fc=None, detrend=None,
         xmin, xmax = xextent
         freqs += Fc
         extent = xmin, xmax, freqs[0], freqs[-1]
+
+        if 'origin' in kwargs:
+            raise TypeError("specgram() got an unexpected keyword argument "
+                            "'origin'")
+
         im = self.imshow(Z, cmap, extent=extent, vmin=vmin, vmax=vmax,
-                         **kwargs)
+                         origin='upper', **kwargs)
         self.axis('auto')
 
         return spec, freqs, t, im
diff --git a/lib/matplotlib/tests/test_axes.py b/lib/matplotlib/tests/test_axes.py
index cbc6a5cdd4a5..791274704d43 100644
--- a/lib/matplotlib/tests/test_axes.py
+++ b/lib/matplotlib/tests/test_axes.py
@@ -4099,6 +4099,33 @@ def test_specgram_fs_none():
     assert xmin == 32 and xmax == 96
 
 
+@check_figures_equal(extensions=["png"])
+def test_specgram_origin_rcparam(fig_test, fig_ref):
+    """Test specgram ignores image.origin rcParam and uses origin 'upper'."""
+    t = np.arange(500)
+    signal = np.sin(t)
+
+    plt.rcParams["image.origin"] = 'upper'
+
+    # Reference: First graph using default origin in imshow (upper),
+    fig_ref.subplots().specgram(signal)
+
+    # Try to overwrite the setting trying to flip the specgram
+    plt.rcParams["image.origin"] = 'lower'
+
+    # Test: origin='lower' should be ignored
+    fig_test.subplots().specgram(signal)
+
+
+def test_specgram_origin_kwarg():
+    """Ensure passing origin as a kwarg raises a TypeError."""
+    t = np.arange(500)
+    signal = np.sin(t)
+
+    with pytest.raises(TypeError):
+        plt.specgram(signal, origin='lower')
+
+
 @image_comparison(
     ["psd_freqs.png", "csd_freqs.png", "psd_noise.png", "csd_noise.png"],
     remove_text=True, tol=0.002)
diff --git a/tutorials/introductory/customizing.py b/tutorials/introductory/customizing.py
index 97baedda6427..ab761fb8bcaf 100644
--- a/tutorials/introductory/customizing.py
+++ b/tutorials/introductory/customizing.py
@@ -12,7 +12,8 @@
 <customizing-with-matplotlibrc-files>` file (which is read at startup to
 configure Matplotlib).
 
-There are a number of pre-defined styles `provided by Matplotlib`_. For
+There are a number of pre-defined styles :doc:`provided by Matplotlib
+</gallery/style_sheets/style_sheets_reference>`. For
 example, there's a pre-defined style called "ggplot", which emulates the
 aesthetics of ggplot_ (a popular plotting package for R_). To use this style,
 just add:
@@ -202,4 +203,3 @@
 #
 # .. _ggplot: https://ggplot2.tidyverse.org/
 # .. _R: https://www.r-project.org/
-# .. _provided by Matplotlib: https://github.com/matplotlib/matplotlib/tree/master/lib/matplotlib/mpl-data/stylelib