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doc/tts notes.txt

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