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{
"models": [
"tts_models/multilingual/multi-dataset/xtts_v2",
"tts_models/multilingual/multi-dataset/xtts_v1.1",
"tts_models/multilingual/multi-dataset/your_tts",
"tts_models/multilingual/multi-dataset/bark",
"tts_models/bg/cv/vits",
"tts_models/cs/cv/vits",
"tts_models/da/cv/vits",
"tts_models/et/cv/vits",
"tts_models/ga/cv/vits",
"tts_models/en/ek1/tacotron2",
"tts_models/en/ljspeech/tacotron2-DDC",
"tts_models/en/ljspeech/tacotron2-DDC_ph",
"tts_models/en/ljspeech/glow-tts",
"tts_models/en/ljspeech/speedy-speech",
"tts_models/en/ljspeech/tacotron2-DCA",
"tts_models/en/ljspeech/vits",
"tts_models/en/ljspeech/vits--neon",
"tts_models/en/ljspeech/fast_pitch",
"tts_models/en/ljspeech/overflow",
"tts_models/en/ljspeech/neural_hmm",
"tts_models/en/vctk/vits",
"tts_models/en/vctk/fast_pitch",
"tts_models/en/sam/tacotron-DDC",
"tts_models/en/blizzard2013/capacitron-t2-c50",
"tts_models/en/blizzard2013/capacitron-t2-c150_v2",
"tts_models/en/multi-dataset/tortoise-v2",
"tts_models/en/jenny/jenny",
"tts_models/es/mai/tacotron2-DDC",
"tts_models/es/css10/vits",
"tts_models/fr/mai/tacotron2-DDC",
"tts_models/fr/css10/vits",
"tts_models/uk/mai/glow-tts",
"tts_models/uk/mai/vits",
"tts_models/zh-CN/baker/tacotron2-DDC-GST",
"tts_models/nl/mai/tacotron2-DDC",
"tts_models/nl/css10/vits",
"tts_models/de/thorsten/tacotron2-DCA",
"tts_models/de/thorsten/vits",
"tts_models/de/thorsten/tacotron2-DDC",
"tts_models/de/css10/vits-neon",
"tts_models/ja/kokoro/tacotron2-DDC",
"tts_models/tr/common-voice/glow-tts",
"tts_models/it/mai_female/glow-tts",
"tts_models/it/mai_female/vits",
"tts_models/it/mai_male/glow-tts",
"tts_models/it/mai_male/vits",
"tts_models/ewe/openbible/vits",
"tts_models/hau/openbible/vits",
"tts_models/lin/openbible/vits",
"tts_models/tw_akuapem/openbible/vits",
"tts_models/tw_asante/openbible/vits",
"tts_models/yor/openbible/vits",
"tts_models/hu/css10/vits",
"tts_models/el/cv/vits",
"tts_models/fi/css10/vits",
"tts_models/hr/cv/vits",
"tts_models/lt/cv/vits",
"tts_models/lv/cv/vits",
"tts_models/mt/cv/vits",
"tts_models/pl/mai_female/vits",
"tts_models/pt/cv/vits",
"tts_models/ro/cv/vits",
"tts_models/sk/cv/vits",
"tts_models/sl/cv/vits",
"tts_models/sv/cv/vits",
"tts_models/ca/custom/vits",
"tts_models/fa/custom/glow-tts",
"tts_models/fa/custom/vits-female",
"tts_models/bn/custom/vits-male",
"tts_models/bn/custom/vits-female",
"tts_models/be/common-voice/glow-tts",
"vocoder_models/universal/libri-tts/wavegrad",
"vocoder_models/universal/libri-tts/fullband-melgan",
"vocoder_models/en/ek1/wavegrad",
"vocoder_models/en/librispeech100/wavlm-hifigan",
"vocoder_models/en/librispeech100/wavlm-hifigan_prematched",
"vocoder_models/en/ljspeech/multiband-melgan",
"vocoder_models/en/ljspeech/hifigan_v2",
"vocoder_models/en/ljspeech/univnet",
"vocoder_models/en/blizzard2013/hifigan_v2",
"vocoder_models/en/vctk/hifigan_v2",
"vocoder_models/en/sam/hifigan_v2",
"vocoder_models/nl/mai/parallel-wavegan",
"vocoder_models/de/thorsten/wavegrad",
"vocoder_models/de/thorsten/fullband-melgan",
"vocoder_models/de/thorsten/hifigan_v1",
"vocoder_models/ja/kokoro/hifigan_v1",
"vocoder_models/uk/mai/multiband-melgan",
"vocoder_models/tr/common-voice/hifigan",
"vocoder_models/be/common-voice/hifigan",
"voice_conversion_models/multilingual/vctk/freevc24",
"voice_conversion_models/multilingual/multi-dataset/knnvc",
"voice_conversion_models/multilingual/multi-dataset/openvoice_v1",
"voice_conversion_models/multilingual/multi-dataset/openvoice_v2"
]
}