Use pocketsphinx 5

.github/workflows/unittests.yml

@@ -41,7 +41,7 @@ jobs:
       - name: Install Python dependencies (Ubuntu only)
         if: matrix.os == 'ubuntu-latest'
         run: |
-          python -m pip install 'pocketsphinx<5'
+          python -m pip install pocketsphinx
       - name: Install Python dependencies
         run: |
           python -m pip install .[whisper-local,whisper-api]

README.rst

@@ -129,7 +129,7 @@ PyAudio `wheel packages <https://pypi.python.org/pypi/wheel>`__ for common 64-bi
 PocketSphinx-Python (for Sphinx users)
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-`PocketSphinx-Python <https://github.com/bambocher/pocketsphinx-python>`__ is **required if and only if you want to use the Sphinx recognizer** (``recognizer_instance.recognize_sphinx``).
+`PocketSphinx-Python <https://github.com/cmusphinx/pocketsphinx>`__ is **required if and only if you want to use the Sphinx recognizer** (``recognizer_instance.recognize_sphinx``).
 
 PocketSphinx-Python `wheel packages <https://pypi.python.org/pypi/wheel>`__ for 64-bit Python 3.4, and 3.5 on Windows are included for convenience, under the ``third-party/`` `directory <https://github.com/Uberi/speech_recognition/tree/master/third-party>`__. To install, simply run ``pip install wheel`` followed by ``pip install ./third-party/WHEEL_FILENAME`` (replace ``pip`` with ``pip3`` if using Python 3) in the SpeechRecognition folder.
 

speech_recognition/__init__.py

@@ -623,7 +623,7 @@ def recognize_sphinx(self, audio_data, language="en-US", keyword_entries=None, g
             raise RequestError("missing PocketSphinx phoneme dictionary file: \"{}\"".format(phoneme_dictionary_file))
 
         # create decoder object
-        config = pocketsphinx.Decoder.default_config()
+        config = pocketsphinx.Config()
         config.set_string("-hmm", acoustic_parameters_directory)  # set the path of the hidden Markov model (HMM) parameter files
         config.set_string("-lm", language_model_file)
         config.set_string("-dict", phoneme_dictionary_file)
@@ -641,8 +641,8 @@ def recognize_sphinx(self, audio_data, language="en-US", keyword_entries=None, g
                 f.flush()
 
                 # perform the speech recognition with the keywords file (this is inside the context manager so the file isn;t deleted until we're done)
-                decoder.set_kws("keywords", f.name)
-                decoder.set_search("keywords")
+                decoder.add_kws("keywords", f.name)
+                decoder.activate_search("keywords")
         elif grammar is not None:  # a path to a FSG or JSGF grammar
             if not os.path.exists(grammar):
                 raise ValueError("Grammar '{0}' does not exist.".format(grammar))

tests/test_special_features.py

@@ -18,8 +18,8 @@ def test_sphinx_keywords(self):
         r = sr.Recognizer()
         with sr.AudioFile(self.AUDIO_FILE_EN) as source: audio = r.record(source)
         self.assertEqual(r.recognize_sphinx(audio, keyword_entries=[("one", 1.0), ("two", 1.0), ("three", 1.0)]), "three two one")
-        self.assertEqual(r.recognize_sphinx(audio, keyword_entries=[("wan", 0.95), ("too", 1.0), ("tree", 1.0)]), "tree too wan")
-        self.assertEqual(r.recognize_sphinx(audio, keyword_entries=[("un", 0.95), ("to", 1.0), ("tee", 1.0)]), "tee to un")
+        self.assertEqual(r.recognize_sphinx(audio, keyword_entries=[("wan", 0.95), ("too", 1.0), ("tree", 1.0)]), "wan  too  wan  too ")
+        self.assertEqual(r.recognize_sphinx(audio, keyword_entries=[("un", 0.95), ("to", 1.0), ("tee", 1.0)]), "un  un  un  to  un  to ")
 
     def assertSameWords(self, tested, reference, msg=None):
         set_tested = set(tested.split())