test: update tests for python 3.10

tests/test_GetAccuracyFromRecordedAudio.py

@@ -31,6 +31,8 @@ class TestGetAccuracyFromRecordedAudio(unittest.TestCase):
             output = json.loads(output)
             assert len(output["matched_transcripts"].strip()) > 0
             assert len(output["matched_transcripts_ipa"].strip()) > 0
+            assert len(output["ipa_transcript"].strip()) > 0
+            assert len(output["real_transcripts_ipa"].strip()) > 0
             output = check_output_by_field(output, "is_letter_correct_all_words", '[01]+', expected_output)
             output = check_output_by_field(output, "end_time", '\d+\.\d+', expected_output)
             output = check_output_by_field(output, "start_time", '\d+\.\d+', expected_output)
@@ -38,6 +40,8 @@ class TestGetAccuracyFromRecordedAudio(unittest.TestCase):
             output["matched_transcripts"] = expected_output["matched_transcripts"]
             output["matched_transcripts_ipa"] = expected_output["matched_transcripts_ipa"]
             output["pronunciation_accuracy"] = expected_output["pronunciation_accuracy"]
+            output["ipa_transcript"] = expected_output["ipa_transcript"]
+            output["real_transcripts_ipa"] = expected_output["real_transcripts_ipa"]
             self.assertEqual(expected_output, output)
 
 

tests/test_phonem_converter_score.py

@@ -17,7 +17,7 @@ class TestPhonemConverter(unittest.TestCase):
         deu_latn = epitran.Epitran('deu-Latn')
         phonem_converter = RuleBasedModels.EpitranPhonemConverter(deu_latn)
         output = phonem_converter.convertToPhonem('Hallo, das ist ein Test')
-        self.assertEqual(output, 'haloː, dɑːs ɪst ain tɛst')
+        self.assertEqual(output, 'haloː, daːs ɪst aɪ̯n tɛst')
 
 
 trainer_SST_lambda = {'de': pronunciationTrainer.getTrainer("de")}