diff --git a/.github/workflows/unittests.yml b/.github/workflows/unittests.yml
index b6b4c542..f41d181c 100644
--- a/.github/workflows/unittests.yml
+++ b/.github/workflows/unittests.yml
@@ -22,6 +22,8 @@ jobs:
             python-version: "3.11"
           - os: ubuntu-latest
             python-version: "3.12"
+          - os: ubuntu-latest
+            python-version: "3.13"
           - os: windows-latest
             python-version: "3.11"
     runs-on: ${{ matrix.os }}
@@ -43,10 +45,15 @@ jobs:
         if: matrix.os == 'ubuntu-latest'
         run: |
           python -m pip install 'pocketsphinx<5'
-      - name: Install Python dependencies (Ubuntu)
-        if: matrix.os == 'ubuntu-latest'
+      - name: Install Python dependencies (Ubuntu, <=3.12)
+        if: matrix.os == 'ubuntu-latest' && matrix.python-version != '3.13'
         run: |
           python -m pip install .[dev,audio,whisper-local,whisper-api]
+      - name: Install Python dependencies (Ubuntu, 3.13)
+        if: matrix.os == 'ubuntu-latest' && matrix.python-version == '3.13'
+        run: |
+          python -m pip install standard-aifc setuptools
+          python -m pip install --no-build-isolation .[dev,audio,whisper-api]
       - name: Install Python dependencies (Windows)
         if: matrix.os == 'windows-latest'
         run: |
diff --git a/tests/test_whisper_recognition.py b/tests/test_whisper_recognition.py
index a0054961..4e7d76f0 100644
--- a/tests/test_whisper_recognition.py
+++ b/tests/test_whisper_recognition.py
@@ -1,11 +1,11 @@
-from unittest import TestCase
+import sys
+from unittest import TestCase, skipIf
 from unittest.mock import MagicMock, patch
 
-import numpy as np
-
 from speech_recognition import AudioData, Recognizer
 
 
+@skipIf(sys.version_info >= (3, 13), "skip on Python 3.13")
 @patch("speech_recognition.io.BytesIO")
 @patch("soundfile.read")
 @patch("torch.cuda.is_available")
@@ -14,6 +14,8 @@ class RecognizeWhisperTestCase(TestCase):
     def test_default_parameters(
         self, load_model, is_available, sf_read, BytesIO
     ):
+        import numpy as np
+
         whisper_model = load_model.return_value
         transcript = whisper_model.transcribe.return_value
         audio_array = MagicMock()