ai-models/speech_sambert-hifigan_tts_chuangirl_Sichuan_16k
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speech_tts
2023-01-09 03:23:20 +00:00
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@ -97,18 +97,17 @@ MaaS-lib暂未支持本模型训练，敬请期待。
#### 代码范例 #### 代码范例
```Python ```Python
from scipy.io.wavfile import write
from modelscope.outputs import OutputKeys from modelscope.outputs import OutputKeys
from modelscope.pipelines import pipeline from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks from modelscope.utils.constant import Tasks
text = '待合成文本' text = '待合成文本'
model_id = 'speech_tts/speech_sambert-hifigan_tts_zh-cn_multisp_pretrain_16k' model_id = 'damo/speech_sambert-hifigan_tts_chuangirl_Sichuan_16k'
sambert_hifigan_tts = pipeline(task=Tasks.text_to_speech, model=model_id, model_revision='v1.0.0') sambert_hifigan_tts = pipeline(task=Tasks.text_to_speech, model=model_id)
output = sambert_hifigan_tts(input=text) output = sambert_hifigan_tts(input=text)
pcm = output[OutputKeys.OUTPUT_PCM] wav = output[OutputKeys.OUTPUT_WAV]
write('output.wav', 16000, pcm) with open('output.wav', 'wb') as f:
f.write(wav)
``` ```
### 模型局限性以及可能的偏差 ### 模型局限性以及可能的偏差