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import unittest
import models as mo
import pronunciationTrainer
from tests.models.test_aimodels import helper_neural_asr
class TestModels(unittest.TestCase):
def setUp(self):
self.language_de = "de"
self.language_en = "en"
def test_getASRModel_de_whisper(self):
from faster_whisper_wrapper import FasterWhisperASRModel
asr = mo.getASRModel(self.language_de)
self.assertIsInstance(asr, FasterWhisperASRModel)
asr_explicit = mo.getASRModel(self.language_de, model_name="faster_whisper")
self.assertIsInstance(asr_explicit, FasterWhisperASRModel)
def test_getASRModel_en_whisper(self):
from faster_whisper_wrapper import FasterWhisperASRModel
asr = mo.getASRModel(self.language_en)
self.assertIsInstance(asr, FasterWhisperASRModel)
asr_explicit = mo.getASRModel(self.language_en, model_name="faster_whisper")
self.assertIsInstance(asr_explicit, FasterWhisperASRModel)
def test_neural_asr_de_faster_whisper(self):
self.maxDiff = None
audio_transcript, word_locations_in_samples = helper_neural_asr("de", "faster_whisper")
assert audio_transcript == ' Hallo, wie geht es dir?'
self.assertEqual(word_locations_in_samples, [
{'end_ts': 5120.0, 'start_ts': 0.0, 'word': ' Hallo,'},
{'end_ts': 10240.0, 'start_ts': 8640.0, 'word': ' wie'},
{'end_ts': 13120.0, 'start_ts': 10240.0, 'word': ' geht'},
{'end_ts': 16640.0, 'start_ts': 13120.0, 'word': ' es'},
{'end_ts': 20160.0, 'start_ts': 16640.0, 'word': ' dir?'}
])
def test_neural_asr_en_faster_whisper(self):
self.maxDiff = None
audio_transcript, word_locations_in_samples = helper_neural_asr("en", "faster_whisper")
assert audio_transcript == ' Hi there, how are you?'
self.assertEqual(word_locations_in_samples, [
{'end_ts': 2240.0, 'start_ts': 0.0, 'word': ' Hi'},
{'end_ts': 4800.0, 'start_ts': 2240.0, 'word': ' there,'},
{'end_ts': 9280.0, 'start_ts': 7360.0, 'word': ' how'},
{'end_ts': 11200.0, 'start_ts': 9280.0, 'word': ' are'},
{'end_ts': 14080.0, 'start_ts': 11200.0, 'word': ' you?'}
])
if __name__ == '__main__':
unittest.main()
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