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数字人文字转语音-TTS--局域网共用一个数字人平台部署 模型存储更改TTS_HOME

安装tts

pip install TTS

列举模型

tts --list_models

Name format: type/language/dataset/model
 1: tts_models/multilingual/multi-dataset/xtts_v2
 2: tts_models/multilingual/multi-dataset/xtts_v1.1
 3: tts_models/multilingual/multi-dataset/your_tts
 4: tts_models/multilingual/multi-dataset/bark
 5: tts_models/bg/cv/vits
 6: tts_models/cs/cv/vits
 7: tts_models/da/cv/vits
 8: tts_models/et/cv/vits
 9: tts_models/ga/cv/vits
 10: tts_models/en/ek1/tacotron2
 11: tts_models/en/ljspeech/tacotron2-DDC
 12: tts_models/en/ljspeech/tacotron2-DDC_ph
 13: tts_models/en/ljspeech/glow-tts
 14: tts_models/en/ljspeech/speedy-speech
 15: tts_models/en/ljspeech/tacotron2-DCA
 16: tts_models/en/ljspeech/vits
 17: tts_models/en/ljspeech/vits--neon
 18: tts_models/en/ljspeech/fast_pitch
 19: tts_models/en/ljspeech/overflow
 20: tts_models/en/ljspeech/neural_hmm
 21: tts_models/en/vctk/vits
 22: tts_models/en/vctk/fast_pitch
 23: tts_models/en/sam/tacotron-DDC
 24: tts_models/en/blizzard2013/capacitron-t2-c50
 25: tts_models/en/blizzard2013/capacitron-t2-c150_v2
 26: tts_models/en/multi-dataset/tortoise-v2
 27: tts_models/en/jenny/jenny
 28: tts_models/es/mai/tacotron2-DDC
 29: tts_models/es/css10/vits
 30: tts_models/fr/mai/tacotron2-DDC
 31: tts_models/fr/css10/vits
 32: tts_models/uk/mai/glow-tts
 33: tts_models/uk/mai/vits
 34: tts_models/zh-CN/baker/tacotron2-DDC-GST
 35: tts_models/nl/mai/tacotron2-DDC
 36: tts_models/nl/css10/vits
 37: tts_models/de/thorsten/tacotron2-DCA
 38: tts_models/de/thorsten/vits
 39: tts_models/de/thorsten/tacotron2-DDC
 40: tts_models/de/css10/vits-neon
 41: tts_models/ja/kokoro/tacotron2-DDC
 42: tts_models/tr/common-voice/glow-tts
 43: tts_models/it/mai_female/glow-tts
 44: tts_models/it/mai_female/vits
 45: tts_models/it/mai_male/glow-tts
 46: tts_models/it/mai_male/vits
 47: tts_models/ewe/openbible/vits
 48: tts_models/hau/openbible/vits
 49: tts_models/lin/openbible/vits
 50: tts_models/tw_akuapem/openbible/vits
 51: tts_models/tw_asante/openbible/vits
 52: tts_models/yor/openbible/vits
 53: tts_models/hu/css10/vits
 54: tts_models/el/cv/vits
 55: tts_models/fi/css10/vits
 56: tts_models/hr/cv/vits
 57: tts_models/lt/cv/vits
 58: tts_models/lv/cv/vits
 59: tts_models/mt/cv/vits
 60: tts_models/pl/mai_female/vits
 61: tts_models/pt/cv/vits
 62: tts_models/ro/cv/vits
 63: tts_models/sk/cv/vits
 64: tts_models/sl/cv/vits
 65: tts_models/sv/cv/vits
 66: tts_models/ca/custom/vits
 67: tts_models/fa/custom/glow-tts
 68: tts_models/bn/custom/vits-male
 69: tts_models/bn/custom/vits-female
 70: tts_models/be/common-voice/glow-tts

 Name format: type/language/dataset/model
 1: vocoder_models/universal/libri-tts/wavegrad [already downloaded]
 2: vocoder_models/universal/libri-tts/fullband-melgan
 3: vocoder_models/en/ek1/wavegrad
 4: vocoder_models/en/ljspeech/multiband-melgan
 5: vocoder_models/en/ljspeech/hifigan_v2
 6: vocoder_models/en/ljspeech/univnet
 7: vocoder_models/en/blizzard2013/hifigan_v2
 8: vocoder_models/en/vctk/hifigan_v2
 9: vocoder_models/en/sam/hifigan_v2
 10: vocoder_models/nl/mai/parallel-wavegan
 11: vocoder_models/de/thorsten/wavegrad
 12: vocoder_models/de/thorsten/fullband-melgan
 13: vocoder_models/de/thorsten/hifigan_v1
 14: vocoder_models/ja/kokoro/hifigan_v1
 15: vocoder_models/uk/mai/multiband-melgan
 16: vocoder_models/tr/common-voice/hifigan
 17: vocoder_models/be/common-voice/hifigan

 Name format: type/language/dataset/model
 1: voice_conversion_models/multilingual/vctk/freevc24

显示tts安装路径

pip show tts

运行tts 

tts --text "Text for cyberwin hotel manager"

 语言模型

    英语
     tts_models/en/ljspeech/tacotron2-DDC
     中文
      tts_models/zh-CN/baker/tacotron2-DDC-GST

语言混合

tts --text "Text for TTS" \
      --model_name "tts_models/multilingual/multi-dataset/xtts_v1.1"

设置系统默认模型路径

C:\Users\Administrator\AppData\Local\tts 

一般放在C盘不够存

设置环境变量TTS_HOME

或者修改python 

TTS\utils

  TTS_HOME = os.environ.get("TTS_HOME")
    XDG_DATA_HOME = os.environ.get("XDG_DATA_HOME")
    if TTS_HOME is not None:
        ans = Path(TTS_HOME).expanduser().resolve(strict=False)
    elif XDG_DATA_HOME is not None:
        ans = Path(XDG_DATA_HOME).expanduser().resolve(strict=False)
    elif sys.platform == "win32":
        import winreg  # pylint: disable=import-outside-toplevel

        key = winreg.OpenKey(
            winreg.HKEY_CURRENT_USER, r"Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders"
        )
        dir_, _ = winreg.QueryValueEx(key, "Local AppData")
        ans = Path(dir_).resolve(strict=False)

这样重新下载命令就会改变

tts --text "Text for TTS" \
    --model_name "<type>/<language>/<dataset>/<model_name>" \
    --vocoder_name "<type>/<language>/<dataset>/<model_name>" \
    --out_path wlzc_outwav/

    英语
     tts_models/en/ljspeech/tacotron2-DDC
     中文
      tts_models/zh-CN/baker/tacotron2-DDC-GST

语言混合

tts --text "Text for cyberwin hotel manager" \
      --model_name "tts_models/multilingual/multi-dataset/xtts_v1.1"
      --vocoder_name "vocoder_models/universal/libri-tts/wavegrad"
      --out_path wlzc_outwav/

tts --text "Text for cyberwin hotel manager" --model_name "tts_models/multilingual/multi-dataset/xtts_v1.1" --vocoder_name "vocoder_models/universal/libri-tts/wavegrad" --out_path wlzc_outwav/


"I have purchased a commercial license from Coqui: licensing@coqui.ai"
 | > "Otherwise, I agree to the terms of the non-commercial CPML: https://coqui.ai/cpm

tts -

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