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Create speakers.json

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  1. speakers.json +185 -0
speakers.json ADDED
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+ "en": {
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+ "ek1": {
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+ "tacotron2": {
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+ "description": "EK1 en-rp tacotron2 by NMStoker",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ek1--tacotron2.zip",
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+ "default_vocoder": "vocoder_models/en/ek1/wavegrad",
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+ "commit": "c802255",
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+ "license": "apache 2.0"
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+ }
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+ },
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+ "ljspeech": {
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+ "tacotron2-DDC": {
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+ "description": "Tacotron2 with Double Decoder Consistency.",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DDC.zip",
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+ "default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
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+ "commit": "bae2ad0f",
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+ "author": "Eren Gölge @erogol",
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+ "license": "apache 2.0",
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+ "contact": "egolge@coqui.com"
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+ },
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+ "tacotron2-DDC_ph": {
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+ "description": "Tacotron2 with Double Decoder Consistency with phonemes.",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DDC_ph.zip",
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+ "default_vocoder": "vocoder_models/en/ljspeech/univnet",
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+ "commit": "3900448",
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+ "author": "Eren Gölge @erogol",
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+ "license": "apache 2.0",
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+ "contact": "egolge@coqui.com"
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+ },
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+ "glow-tts": {
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+ "description": "",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--glow-tts.zip",
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+ "stats_file": null,
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+ "default_vocoder": "vocoder_models/en/ljspeech/multiband-melgan",
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+ "commit": "",
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+ "author": "Eren Gölge @erogol",
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+ "license": "MPL",
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+ "contact": "egolge@coqui.com"
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+ },
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+ "speedy-speech": {
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+ "description": "Speedy Speech model trained on LJSpeech dataset using the Alignment Network for learning the durations.",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--speedy-speech.zip",
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+ "stats_file": null,
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+ "default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
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+ "commit": "4581e3d",
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+ "author": "Eren Gölge @erogol",
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+ "license": "apache 2.0",
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+ "contact": "egolge@coqui.com"
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+ },
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+ "tacotron2-DCA": {
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+ "description": "",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DCA.zip",
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+ "default_vocoder": "vocoder_models/en/ljspeech/multiband-melgan",
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+ "commit": "",
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+ "author": "Eren Gölge @erogol",
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+ "license": "MPL",
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+ "contact": "egolge@coqui.com"
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+ },
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+ "vits": {
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+ "description": "VITS is an End2End TTS model trained on LJSpeech dataset with phonemes.",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--vits.zip",
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+ "default_vocoder": null,
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+ "commit": "3900448",
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+ "author": "Eren Gölge @erogol",
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+ "license": "apache 2.0",
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+ "contact": "egolge@coqui.com"
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+ },
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+ "vits--neon": {
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--en--ljspeech--vits.zip",
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+ "default_vocoder": null,
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+ "author": "@NeonGeckoCom",
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+ "license": "bsd-3-clause",
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+ "contact": null,
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+ "commit": null
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+ },
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+ "fast_pitch": {
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+ "description": "FastPitch model trained on LJSpeech using the Aligner Network",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--fast_pitch.zip",
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+ "default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
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+ "commit": "b27b3ba",
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+ "author": "Eren Gölge @erogol",
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+ "license": "apache 2.0",
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+ "contact": "egolge@coqui.com"
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+ },
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+ "overflow": {
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+ "description": "Overflow model trained on LJSpeech",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.10.0_models/tts_models--en--ljspeech--overflow.zip",
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+ "default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
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+ "commit": "3b1a28f",
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+ "author": "Eren Gölge @erogol",
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+ "license": "apache 2.0",
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+ "contact": "egolge@coqui.ai"
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+ },
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+ "neural_hmm": {
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+ "description": "Neural HMM model trained on LJSpeech",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.11.0_models/tts_models--en--ljspeech--neural_hmm.zip",
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+ "default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
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+ "commit": "3b1a28f",
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+ "author": "Shivam Metha @shivammehta25",
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+ "license": "apache 2.0",
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+ "contact": "d83ee8fe45e3c0d776d4a865aca21d7c2ac324c4"
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+ }
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+ },
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+ "vctk": {
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+ "vits": {
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+ "description": "VITS End2End TTS model trained on VCTK dataset with 109 different speakers with EN accent.",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--vctk--vits.zip",
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+ "default_vocoder": null,
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+ "commit": "3900448",
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+ "author": "Eren @erogol",
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+ "license": "apache 2.0",
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+ "contact": "egolge@coqui.ai"
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+ },
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+ "fast_pitch": {
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+ "description": "FastPitch model trained on VCTK dataseset.",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--vctk--fast_pitch.zip",
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+ "default_vocoder": null,
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+ "commit": "bdab788d",
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+ "author": "Eren @erogol",
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+ "license": "CC BY-NC-ND 4.0",
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+ "contact": "egolge@coqui.ai"
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+ }
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+ },
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+ "sam": {
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+ "tacotron-DDC": {
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+ "description": "Tacotron2 with Double Decoder Consistency trained with Aceenture's Sam dataset.",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--sam--tacotron-DDC.zip",
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+ "default_vocoder": "vocoder_models/en/sam/hifigan_v2",
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+ "commit": "bae2ad0f",
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+ "author": "Eren Gölge @erogol",
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+ "license": "apache 2.0",
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+ "contact": "egolge@coqui.com"
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+ }
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+ },
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+ "blizzard2013": {
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+ "capacitron-t2-c50": {
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+ "description": "Capacitron additions to Tacotron 2 with Capacity at 50 as in https://arxiv.org/pdf/1906.03402.pdf",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.7.0_models/tts_models--en--blizzard2013--capacitron-t2-c50.zip",
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+ "commit": "d6284e7",
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+ "default_vocoder": "vocoder_models/en/blizzard2013/hifigan_v2",
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+ "author": "Adam Froghyar @a-froghyar",
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+ "license": "apache 2.0",
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+ "contact": "adamfroghyar@gmail.com"
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+ },
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+ "capacitron-t2-c150_v2": {
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+ "description": "Capacitron additions to Tacotron 2 with Capacity at 150 as in https://arxiv.org/pdf/1906.03402.pdf",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.7.1_models/tts_models--en--blizzard2013--capacitron-t2-c150_v2.zip",
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+ "commit": "a67039d",
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+ "default_vocoder": "vocoder_models/en/blizzard2013/hifigan_v2",
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+ "author": "Adam Froghyar @a-froghyar",
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+ "license": "apache 2.0",
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+ "contact": "adamfroghyar@gmail.com"
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+ }
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+ },
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+ "multi-dataset": {
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+ "tortoise-v2": {
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+ "description": "Tortoise tts model https://github.com/neonbjb/tortoise-tts",
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+ "github_rls_url": [
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/autoregressive.pth",
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/clvp2.pth",
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/cvvp.pth",
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/diffusion_decoder.pth",
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/rlg_auto.pth",
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/rlg_diffuser.pth",
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/vocoder.pth",
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/mel_norms.pth",
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+ "https://coqui.gateway.scarf.sh/v0.14.1_models/config.json"
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+ ],
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+ "commit": "c1875f6",
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+ "default_vocoder": null,
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+ "author": "@neonbjb - James Betker, @manmay-nakhashi Manmay Nakhashi",
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+ "license": "apache 2.0"
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+ }
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+ },
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+ "jenny": {
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+ "jenny": {
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+ "description": "VITS model trained with Jenny(Dioco) dataset. Named as Jenny as demanded by the license. Original URL for the model https://www.kaggle.com/datasets/noml4u/tts-models--en--jenny-dioco--vits",
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+ "github_rls_url": "https://coqui.gateway.scarf.sh/v0.14.0_models/tts_models--en--jenny--jenny.zip",
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+ "default_vocoder": null,
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+ "commit": "ba40a1c",
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+ "license": "custom - see https://github.com/dioco-group/jenny-tts-dataset#important",
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+ "author": "@noml4u"
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+ }
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+ }
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+ },