112 lines
3.8 KiB
Plaintext
112 lines
3.8 KiB
Plaintext
curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - && \
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curl -s -L https://nvidia.github.io/nvidia-docker/ubuntu20.04/nvidia-docker.list | \
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sudo tee /etc/apt/sources.list.d/nvidia-docker.list && \
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sudo apt-get update && \
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sudo apt-get install -y nvidia-docker2
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"Linux Mint 21.1" is ubuntu20.04
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docker run --gpus all nvidia/cuda:10.2-cudnn7-devel nvidia-smi
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docker run -it --rm --gpus all ubuntu nvidia-smi
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docker run -d --gpus all -p 9000:9000 -e ASR_MODEL=base onerahmet/openai-whisper-asr-webservice:latest-gpu
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https://www.youtube.com/watch?v=ZvIdFs3M5ic
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############
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Welcome to the world of speech synthesis!
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#https://github.com/coqui-ai/TTS/tree/dev#install-tts
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#https://tts.readthedocs.io/en/latest/finetuning.html
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tts --list_models
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M: p233, 241, 264, !267, 269, 272
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F: !243, 244,248,250, 259, 263, 270, 271, 273/4/6 fast, 294, 297, 300,
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BG?: 287
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root@7b6397b7ecbe:~# tts --list_models
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Name format: type/language/dataset/model
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1: tts_models/multilingual/multi-dataset/your_tts
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2: tts_models/bg/cv/vits
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3: tts_models/cs/cv/vits
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4: tts_models/da/cv/vits
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5: tts_models/et/cv/vits
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6: tts_models/ga/cv/vits
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7: tts_models/en/ek1/tacotron2
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8: tts_models/en/ljspeech/tacotron2-DDC
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9: tts_models/en/ljspeech/tacotron2-DDC_ph
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10: tts_models/en/ljspeech/glow-tts
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11: tts_models/en/ljspeech/speedy-speech
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12: tts_models/en/ljspeech/tacotron2-DCA
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13: tts_models/en/ljspeech/vits
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14: tts_models/en/ljspeech/vits--neon
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15: tts_models/en/ljspeech/fast_pitch
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16: tts_models/en/ljspeech/overflow
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17: tts_models/en/ljspeech/neural_hmm
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18: tts_models/en/vctk/vits [already downloaded]
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19: tts_models/en/vctk/fast_pitch
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20: tts_models/en/sam/tacotron-DDC
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21: tts_models/en/blizzard2013/capacitron-t2-c50
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22: tts_models/en/blizzard2013/capacitron-t2-c150_v2
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23: tts_models/es/mai/tacotron2-DDC
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24: tts_models/es/css10/vits
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25: tts_models/fr/mai/tacotron2-DDC
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26: tts_models/fr/css10/vits
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27: tts_models/uk/mai/glow-tts
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28: tts_models/uk/mai/vits
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29: tts_models/zh-CN/baker/tacotron2-DDC-GST
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30: tts_models/nl/mai/tacotron2-DDC
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31: tts_models/nl/css10/vits
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32: tts_models/de/thorsten/tacotron2-DCA
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33: tts_models/de/thorsten/vits
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34: tts_models/de/thorsten/tacotron2-DDC
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35: tts_models/de/css10/vits-neon
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36: tts_models/ja/kokoro/tacotron2-DDC
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37: tts_models/tr/common-voice/glow-tts
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38: tts_models/it/mai_female/glow-tts
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39: tts_models/it/mai_female/vits
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40: tts_models/it/mai_male/glow-tts
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41: tts_models/it/mai_male/vits
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42: tts_models/ewe/openbible/vits
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43: tts_models/hau/openbible/vits
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44: tts_models/lin/openbible/vits
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45: tts_models/tw_akuapem/openbible/vits
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46: tts_models/tw_asante/openbible/vits
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47: tts_models/yor/openbible/vits
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48: tts_models/hu/css10/vits
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49: tts_models/el/cv/vits
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50: tts_models/fi/css10/vits
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51: tts_models/hr/cv/vits
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52: tts_models/lt/cv/vits
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53: tts_models/lv/cv/vits
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54: tts_models/mt/cv/vits
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55: tts_models/pl/mai_female/vits
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56: tts_models/pt/cv/vits
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57: tts_models/ro/cv/vits
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58: tts_models/sk/cv/vits
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59: tts_models/sl/cv/vits
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60: tts_models/sv/cv/vits
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61: tts_models/ca/custom/vits
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62: tts_models/fa/custom/glow-tts
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Name format: type/language/dataset/model
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1: vocoder_models/universal/libri-tts/wavegrad
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2: vocoder_models/universal/libri-tts/fullband-melgan
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3: vocoder_models/en/ek1/wavegrad
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4: vocoder_models/en/ljspeech/multiband-melgan
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5: vocoder_models/en/ljspeech/hifigan_v2
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6: vocoder_models/en/ljspeech/univnet
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7: vocoder_models/en/blizzard2013/hifigan_v2
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8: vocoder_models/en/vctk/hifigan_v2
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9: vocoder_models/en/sam/hifigan_v2
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10: vocoder_models/nl/mai/parallel-wavegan
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11: vocoder_models/de/thorsten/wavegrad
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12: vocoder_models/de/thorsten/fullband-melgan
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13: vocoder_models/de/thorsten/hifigan_v1
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14: vocoder_models/ja/kokoro/hifigan_v1
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15: vocoder_models/uk/mai/multiband-melgan
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16: vocoder_models/tr/common-voice/hifigan |