mirror of https://github.com/coqui-ai/TTS.git
104 lines
3.8 KiB
Python
104 lines
3.8 KiB
Python
import os
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import unittest
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from tests import get_tests_data_path, get_tests_output_path
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from TTS.api import CS_API, TTS
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OUTPUT_PATH = os.path.join(get_tests_output_path(), "test_python_api.wav")
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cloning_test_wav_path = os.path.join(get_tests_data_path(), "ljspeech/wavs/LJ001-0028.wav")
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class CS_APITest(unittest.TestCase):
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def test_speakers(self):
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tts = CS_API()
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self.assertGreater(len(tts.speakers), 1)
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def test_emotions(self):
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tts = CS_API()
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self.assertGreater(len(tts.emotions), 1)
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def test_list_calls(self):
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tts = CS_API()
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self.assertGreater(len(tts.list_voices()), 1)
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self.assertGreater(len(tts.list_speakers()), 1)
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self.assertGreater(len(tts.list_all_speakers()), 1)
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self.assertGreater(len(tts.list_speakers_as_tts_models()), 1)
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def test_name_to_speaker(self):
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tts = CS_API()
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speaker_name = tts.list_speakers_as_tts_models()[0].split("/")[2]
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speaker = tts.name_to_speaker(speaker_name)
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self.assertEqual(speaker.name, speaker_name)
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def test_tts(self):
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tts = CS_API()
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wav, sr = tts.tts(text="This is a test.", speaker_name=tts.list_speakers()[0].name)
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self.assertEqual(sr, 44100)
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self.assertGreater(len(wav), 1)
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class TTSTest(unittest.TestCase):
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def test_single_speaker_model(self):
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tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False, gpu=False)
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error_raised = False
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try:
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tts.tts_to_file(text="Ich bin eine Testnachricht.", speaker="Thorsten", language="de")
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except ValueError:
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error_raised = True
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tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path=OUTPUT_PATH)
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self.assertTrue(error_raised)
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self.assertFalse(tts.is_multi_speaker)
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self.assertFalse(tts.is_multi_lingual)
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self.assertIsNone(tts.speakers)
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self.assertIsNone(tts.languages)
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def test_studio_model(self):
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tts = TTS(model_name="coqui_studio/en/Torcull Diarmuid/coqui_studio")
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tts.tts_to_file(text="This is a test.")
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# check speed > 2.0 raises error
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raised_error = False
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try:
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_ = tts.tts(text="This is a test.", speed=4.0, emotion="Sad") # should raise error with speed > 2.0
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except ValueError:
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raised_error = True
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self.assertTrue(raised_error)
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# check emotion is invalid
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raised_error = False
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try:
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_ = tts.tts(text="This is a test.", speed=2.0, emotion="No Emo") # should raise error with speed > 2.0
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except ValueError:
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raised_error = True
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self.assertTrue(raised_error)
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# check valid call
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wav = tts.tts(text="This is a test.", speed=2.0, emotion="Sad")
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self.assertGreater(len(wav), 0)
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def test_multi_speaker_multi_lingual_model(self):
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tts = TTS()
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tts.load_tts_model_by_name(tts.models[0]) # YourTTS
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tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.languages[0], file_path=OUTPUT_PATH)
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self.assertTrue(tts.is_multi_speaker)
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self.assertTrue(tts.is_multi_lingual)
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self.assertGreater(len(tts.speakers), 1)
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self.assertGreater(len(tts.languages), 1)
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def test_voice_cloning(self): # pylint: disable=no-self-use
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tts = TTS()
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tts.load_tts_model_by_name("tts_models/multilingual/multi-dataset/your_tts")
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tts.tts_to_file("Hello world!", speaker_wav=cloning_test_wav_path, language="en", file_path=OUTPUT_PATH)
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def test_voice_conversion(self): # pylint: disable=no-self-use
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tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", progress_bar=False, gpu=False)
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tts.voice_conversion_to_file(
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source_wav=cloning_test_wav_path,
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target_wav=cloning_test_wav_path,
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file_path=OUTPUT_PATH,
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)
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