mirror of
https://github.com/modelscope/modelscope.git
synced 2026-07-13 13:59:40 +02:00
[to #42322933] Add explict model id in tts UT
Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10371244 Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10371244
This commit is contained in:
@@ -27,67 +27,50 @@ class TextToSpeechSambertHifigan16kPipelineTest(unittest.TestCase,
|
||||
|
||||
def setUp(self) -> None:
|
||||
self.task = Tasks.text_to_speech
|
||||
zhcn_text = '今天北京天气怎么样'
|
||||
en_text = 'How is the weather in Beijing?'
|
||||
zhcn_voice = ['zhitian_emo', 'zhizhe_emo', 'zhiyan_emo', 'zhibei_emo']
|
||||
enus_voice = ['andy', 'annie']
|
||||
engb_voice = ['luca', 'luna']
|
||||
self.tts_test_cases = []
|
||||
for voice in zhcn_voice:
|
||||
model_id = 'damo/speech_sambert-hifigan_tts_%s_%s_16k' % (voice,
|
||||
'zh-cn')
|
||||
self.tts_test_cases.append({
|
||||
'voice': voice,
|
||||
'model_id': model_id,
|
||||
'text': zhcn_text
|
||||
})
|
||||
for voice in enus_voice:
|
||||
model_id = 'damo/speech_sambert-hifigan_tts_%s_%s_16k' % (voice,
|
||||
'en-us')
|
||||
self.tts_test_cases.append({
|
||||
'voice': voice,
|
||||
'model_id': model_id,
|
||||
'text': en_text
|
||||
})
|
||||
for voice in engb_voice:
|
||||
model_id = 'damo/speech_sambert-hifigan_tts_%s_%s_16k' % (voice,
|
||||
'en-gb')
|
||||
self.tts_test_cases.append({
|
||||
'voice': voice,
|
||||
'model_id': model_id,
|
||||
'text': en_text
|
||||
})
|
||||
zhcn_model_id = 'damo/speech_sambert-hifigan_tts_zh-cn_16k'
|
||||
enus_model_id = 'damo/speech_sambert-hifigan_tts_en-us_16k'
|
||||
engb_model_id = 'damo/speech_sambert-hifigan_tts_en-gb_16k'
|
||||
self.tts_test_cases.append({
|
||||
'voice': 'zhcn',
|
||||
'model_id': zhcn_model_id,
|
||||
'text': zhcn_text
|
||||
})
|
||||
self.tts_test_cases.append({
|
||||
'voice': 'enus',
|
||||
'model_id': enus_model_id,
|
||||
'text': en_text
|
||||
})
|
||||
self.tts_test_cases.append({
|
||||
'voice': 'engb',
|
||||
'model_id': engb_model_id,
|
||||
'text': en_text
|
||||
})
|
||||
self.zhcn_text = '今天北京天气怎么样'
|
||||
self.en_text = 'How is the weather in Beijing?'
|
||||
self.zhcn_voices = [
|
||||
'zhitian_emo', 'zhizhe_emo', 'zhiyan_emo', 'zhibei_emo', 'zhcn'
|
||||
]
|
||||
self.zhcn_models = [
|
||||
'damo/speech_sambert-hifigan_tts_zhitian_emo_zh-cn_16k',
|
||||
'damo/speech_sambert-hifigan_tts_zhizhe_emo_zh-cn_16k',
|
||||
'damo/speech_sambert-hifigan_tts_zhiyan_emo_zh-cn_16k',
|
||||
'damo/speech_sambert-hifigan_tts_zhibei_emo_zh-cn_16k',
|
||||
'damo/speech_sambert-hifigan_tts_zh-cn_16k'
|
||||
]
|
||||
self.en_voices = ['luca', 'luna', 'andy', 'annie', 'engb', 'enus']
|
||||
self.en_models = [
|
||||
'damo/speech_sambert-hifigan_tts_luca_en-gb_16k',
|
||||
'damo/speech_sambert-hifigan_tts_luna_en-gb_16k',
|
||||
'damo/speech_sambert-hifigan_tts_andy_en-us_16k',
|
||||
'damo/speech_sambert-hifigan_tts_annie_en-us_16k',
|
||||
'damo/speech_sambert-hifigan_tts_en-gb_16k',
|
||||
'damo/speech_sambert-hifigan_tts_en-us_16k'
|
||||
]
|
||||
|
||||
@unittest.skipUnless(test_level() >= 0, 'skip test in current test level')
|
||||
def test_pipeline(self):
|
||||
for case in self.tts_test_cases:
|
||||
logger.info('test %s' % case['voice'])
|
||||
for i in range(len(self.zhcn_voices)):
|
||||
logger.info('test %s' % self.zhcn_voices[i])
|
||||
model = Model.from_pretrained(
|
||||
model_name_or_path=case['model_id'], revision='pytorch_am')
|
||||
model_name_or_path=self.zhcn_models[i], revision='pytorch_am')
|
||||
sambert_hifigan_tts = pipeline(task=self.task, model=model)
|
||||
self.assertTrue(sambert_hifigan_tts is not None)
|
||||
output = sambert_hifigan_tts(input=case['text'])
|
||||
output = sambert_hifigan_tts(input=self.zhcn_text)
|
||||
self.assertIsNotNone(output[OutputKeys.OUTPUT_PCM])
|
||||
pcm = output[OutputKeys.OUTPUT_PCM]
|
||||
write('output_%s.wav' % case['voice'], 16000, pcm)
|
||||
write('output_%s.wav' % self.zhcn_voices[i], 16000, pcm)
|
||||
for i in range(len(self.en_voices)):
|
||||
logger.info('test %s' % self.en_voices[i])
|
||||
model = Model.from_pretrained(
|
||||
model_name_or_path=self.en_models[i], revision='pytorch_am')
|
||||
sambert_hifigan_tts = pipeline(task=self.task, model=model)
|
||||
self.assertTrue(sambert_hifigan_tts is not None)
|
||||
output = sambert_hifigan_tts(input=self.en_text)
|
||||
self.assertIsNotNone(output[OutputKeys.OUTPUT_PCM])
|
||||
pcm = output[OutputKeys.OUTPUT_PCM]
|
||||
write('output_%s.wav' % self.en_voices[i], 16000, pcm)
|
||||
|
||||
@unittest.skip('demo compatibility test is only enabled on a needed-basis')
|
||||
def test_demo_compatibility(self):
|
||||
|
||||
Reference in New Issue
Block a user