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coqui-tts
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Merge pull request #149 from idiap/cache-models 

Show original model URLs
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Enno Hermann 2024-11-11 13:24:56 +01:00 committed by GitHub
parent 2df9bfa78e d3c3ba3d56
commit b5bd9953c7
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13 changed files with 218 additions and 161 deletions
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11
.github/actions/setup-uv/action.yml vendored Normal file
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@ -0,0 +1,11 @@
name: Setup uv
runs:
using: 'composite'
steps:
- name: Install uv
uses: astral-sh/setup-uv@v3
with:
version: "0.5.1"
enable-cache: true
cache-dependency-glob: "**/pyproject.toml"

64
.github/workflows/integration-tests.yml vendored Normal file
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@ -0,0 +1,64 @@
name: integration
on:
push:
branches:
- main
pull_request:
types: [opened, synchronize, reopened]
jobs:
test:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.9", "3.12"]
subset: ["test_tts", "test_tts2", "test_vocoder", "test_xtts", "test_zoo0", "test_zoo1", "test_zoo2"]
steps:
- uses: actions/checkout@v4
- name: Setup uv
uses: ./.github/actions/setup-uv
- name: Set up Python ${{ matrix.python-version }}
run: uv python install ${{ matrix.python-version }}
- name: Install Espeak
if: contains(fromJSON('["test_tts", "test_tts2", "test_xtts", "test_zoo0", "test_zoo1", "test_zoo2"]'), matrix.subset)
run: |
sudo apt-get update
sudo apt-get install espeak espeak-ng
- name: Install dependencies
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends git make gcc
make system-deps
- name: Integration tests
run: |
resolution=highest
if [ "${{ matrix.python-version }}" == "3.9" ]; then
resolution=lowest-direct
fi
uv run --resolution=$resolution --extra server --extra languages make ${{ matrix.subset }}
- name: Upload coverage data
uses: actions/upload-artifact@v4
with:
include-hidden-files: true
name: coverage-data-${{ matrix.subset }}-${{ matrix.python-version }}
path: .coverage.*
if-no-files-found: ignore
coverage:
if: always()
needs: test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Setup uv
uses: ./.github/actions/setup-uv
- uses: actions/download-artifact@v4
with:
pattern: coverage-data-*
merge-multiple: true
- name: Combine coverage
run: |
uv python install
uvx coverage combine
uvx coverage html --skip-covered --skip-empty
uvx coverage report --format=markdown >> $GITHUB_STEP_SUMMARY

8
.github/workflows/pypi-release.yml vendored
View File

@ -11,6 +11,8 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Setup uv
uses: ./.github/actions/setup-uv
- name: Verify tag matches version
run: |
set -ex
@ -19,12 +21,6 @@ jobs:
if [[ "v$version" != "$tag" ]]; then
exit 1
fi
- name: Install uv
uses: astral-sh/setup-uv@v3
with:
version: "0.4.27"
enable-cache: true
cache-dependency-glob: "**/pyproject.toml"
- name: Set up Python
run: uv python install 3.12
- name: Build sdist and wheel

10
.github/workflows/style_check.yml vendored
View File

@ -7,7 +7,7 @@ on:
pull_request:
types: [opened, synchronize, reopened]
jobs:
test:
lint:
runs-on: ubuntu-latest
strategy:
fail-fast: false
@ -15,12 +15,8 @@ jobs:
python-version: [3.9]
steps:
- uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v3
with:
version: "0.4.27"
enable-cache: true
cache-dependency-glob: "**/pyproject.toml"
- name: Setup uv
uses: ./.github/actions/setup-uv
- name: Set up Python ${{ matrix.python-version }}
run: uv python install ${{ matrix.python-version }}
- name: Lint check

24
.github/workflows/tests.yml vendored
View File

@ -1,4 +1,4 @@
name: tests
name: unit
on:
push:
@ -13,19 +13,15 @@ jobs:
fail-fast: false
matrix:
python-version: [3.9, "3.10", "3.11", "3.12"]
subset: ["data_tests", "inference_tests", "test_aux", "test_text", "test_tts", "test_tts2", "test_vocoder", "test_xtts", "test_zoo0", "test_zoo1", "test_zoo2"]
subset: ["data_tests", "inference_tests", "test_aux", "test_text"]
steps:
- uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v3
with:
version: "0.4.27"
enable-cache: true
cache-dependency-glob: "**/pyproject.toml"
- name: Setup uv
uses: ./.github/actions/setup-uv
- name: Set up Python ${{ matrix.python-version }}
run: uv python install ${{ matrix.python-version }}
- name: Install Espeak
if: contains(fromJSON('["inference_tests", "test_text", "test_tts", "test_tts2", "test_xtts", "test_zoo0", "test_zoo1", "test_zoo2"]'), matrix.subset)
if: contains(fromJSON('["inference_tests", "test_text"]'), matrix.subset)
run: |
sudo apt-get update
sudo apt-get install espeak espeak-ng
@ -34,10 +30,6 @@ jobs:
sudo apt-get update
sudo apt-get install -y --no-install-recommends git make gcc
make system-deps
- name: Replace scarf urls
if: contains(fromJSON('["data_tests", "inference_tests", "test_aux", "test_tts", "test_tts2", "test_xtts", "test_zoo0", "test_zoo1", "test_zoo2"]'), matrix.subset)
run: |
sed -i 's/https:\/\/coqui.gateway.scarf.sh\//https:\/\/github.com\/coqui-ai\/TTS\/releases\/download\//g' TTS/.models.json
- name: Unit tests
run: |
resolution=highest
@ -58,10 +50,8 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v3
with:
version: "0.4.27"
- name: Setup uv
uses: ./.github/actions/setup-uv
- uses: actions/download-artifact@v4
with:
pattern: coverage-data-*

214
TTS/.models.json
View File

@ -5,11 +5,11 @@
"xtts_v2": {
"description": "XTTS-v2.0.3 by Coqui with 17 languages.",
"hf_url": [
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/model.pth",
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/config.json",
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/vocab.json",
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/hash.md5",
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/speakers_xtts.pth"
"https://huggingface.co/coqui/XTTS-v2/resolve/main/model.pth",
"https://huggingface.co/coqui/XTTS-v2/resolve/main/config.json",
"https://huggingface.co/coqui/XTTS-v2/resolve/main/vocab.json",
"https://huggingface.co/coqui/XTTS-v2/resolve/main/hash.md5",
"https://huggingface.co/coqui/XTTS-v2/resolve/main/speakers_xtts.pth"
],
"model_hash": "10f92b55c512af7a8d39d650547a15a7",
"default_vocoder": null,
@ -21,10 +21,10 @@
"xtts_v1.1": {
"description": "XTTS-v1.1 by Coqui with 14 languages, cross-language voice cloning and reference leak fixed.",
"hf_url": [
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/model.pth",
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/config.json",
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/vocab.json",
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/hash.md5"
"https://huggingface.co/coqui/XTTS-v1/resolve/v1.1.2/model.pth",
"https://huggingface.co/coqui/XTTS-v1/resolve/v1.1.2/config.json",
"https://huggingface.co/coqui/XTTS-v1/resolve/v1.1.2/vocab.json",
"https://huggingface.co/coqui/XTTS-v1/resolve/v1.1.2/hash.md5"
],
"model_hash": "7c62beaf58d39b729de287330dc254e7b515677416839b649a50e7cf74c3df59",
"default_vocoder": null,
@ -35,7 +35,7 @@
},
"your_tts": {
"description": "Your TTS model accompanying the paper https://arxiv.org/abs/2112.02418",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.10.1_models/tts_models--multilingual--multi-dataset--your_tts.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.10.1_models/tts_models--multilingual--multi-dataset--your_tts.zip",
"default_vocoder": null,
"commit": "e9a1953e",
"license": "CC BY-NC-ND 4.0",
@ -44,11 +44,11 @@
"bark": {
"description": "🐶 Bark TTS model released by suno-ai. You can find the original implementation in https://github.com/suno-ai/bark.",
"hf_url": [
"https://coqui.gateway.scarf.sh/hf/bark/coarse_2.pt",
"https://coqui.gateway.scarf.sh/hf/bark/fine_2.pt",
"https://coqui.gateway.scarf.sh/hf/bark/text_2.pt",
"https://coqui.gateway.scarf.sh/hf/bark/config.json",
"https://coqui.gateway.scarf.sh/hf/bark/tokenizer.pth"
"https://huggingface.co/erogol/bark/resolve/main/coarse_2.pt",
"https://huggingface.co/erogol/bark/resolve/main/fine_2.pt",
"https://huggingface.co/erogol/bark/resolve/main/text_2.pt",
"https://huggingface.co/erogol/bark/resolve/main/config.json",
"https://huggingface.co/erogol/bark/resolve/main/tokenizer.pth"
],
"default_vocoder": null,
"commit": "e9a1953e",
@ -60,7 +60,7 @@
"bg": {
"cv": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--bg--cv--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--bg--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -71,7 +71,7 @@
"cs": {
"cv": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--cs--cv--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--cs--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -82,7 +82,7 @@
"da": {
"cv": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--da--cv--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--da--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -93,7 +93,7 @@
"et": {
"cv": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--et--cv--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--et--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -104,7 +104,7 @@
"ga": {
"cv": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--ga--cv--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--ga--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -116,7 +116,7 @@
"ek1": {
"tacotron2": {
"description": "EK1 en-rp tacotron2 by NMStoker",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ek1--tacotron2.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--ek1--tacotron2.zip",
"default_vocoder": "vocoder_models/en/ek1/wavegrad",
"commit": "c802255",
"license": "apache 2.0"
@ -125,7 +125,7 @@
"ljspeech": {
"tacotron2-DDC": {
"description": "Tacotron2 with Double Decoder Consistency.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DDC.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DDC.zip",
"default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
"commit": "bae2ad0f",
"author": "Eren Gölge @erogol",
@ -134,7 +134,7 @@
},
"tacotron2-DDC_ph": {
"description": "Tacotron2 with Double Decoder Consistency with phonemes.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DDC_ph.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DDC_ph.zip",
"default_vocoder": "vocoder_models/en/ljspeech/univnet",
"commit": "3900448",
"author": "Eren Gölge @erogol",
@ -143,7 +143,7 @@
},
"glow-tts": {
"description": "",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--glow-tts.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--ljspeech--glow-tts.zip",
"stats_file": null,
"default_vocoder": "vocoder_models/en/ljspeech/multiband-melgan",
"commit": "",
@ -153,7 +153,7 @@
},
"speedy-speech": {
"description": "Speedy Speech model trained on LJSpeech dataset using the Alignment Network for learning the durations.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--speedy-speech.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--ljspeech--speedy-speech.zip",
"stats_file": null,
"default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
"commit": "4581e3d",
@ -163,7 +163,7 @@
},
"tacotron2-DCA": {
"description": "",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DCA.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--ljspeech--tacotron2-DCA.zip",
"default_vocoder": "vocoder_models/en/ljspeech/multiband-melgan",
"commit": "",
"author": "Eren Gölge @erogol",
@ -172,7 +172,7 @@
},
"vits": {
"description": "VITS is an End2End TTS model trained on LJSpeech dataset with phonemes.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--ljspeech--vits.zip",
"default_vocoder": null,
"commit": "3900448",
"author": "Eren Gölge @erogol",
@ -180,7 +180,7 @@
"contact": "egolge@coqui.com"
},
"vits--neon": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--en--ljspeech--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--en--ljspeech--vits.zip",
"default_vocoder": null,
"author": "@NeonGeckoCom",
"license": "bsd-3-clause",
@ -189,7 +189,7 @@
},
"fast_pitch": {
"description": "FastPitch model trained on LJSpeech using the Aligner Network",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--ljspeech--fast_pitch.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--ljspeech--fast_pitch.zip",
"default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
"commit": "b27b3ba",
"author": "Eren Gölge @erogol",
@ -198,7 +198,7 @@
},
"overflow": {
"description": "Overflow model trained on LJSpeech",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.10.0_models/tts_models--en--ljspeech--overflow.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.10.0_models/tts_models--en--ljspeech--overflow.zip",
"default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
"commit": "3b1a28f",
"author": "Eren Gölge @erogol",
@ -207,7 +207,7 @@
},
"neural_hmm": {
"description": "Neural HMM model trained on LJSpeech",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.11.0_models/tts_models--en--ljspeech--neural_hmm.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.11.0_models/tts_models--en--ljspeech--neural_hmm.zip",
"default_vocoder": "vocoder_models/en/ljspeech/hifigan_v2",
"commit": "3b1a28f",
"author": "Shivam Metha @shivammehta25",
@ -218,7 +218,7 @@
"vctk": {
"vits": {
"description": "VITS End2End TTS model trained on VCTK dataset with 109 different speakers with EN accent.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--vctk--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--vctk--vits.zip",
"default_vocoder": null,
"commit": "3900448",
"author": "Eren @erogol",
@ -227,7 +227,7 @@
},
"fast_pitch": {
"description": "FastPitch model trained on VCTK dataseset.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--vctk--fast_pitch.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--vctk--fast_pitch.zip",
"default_vocoder": null,
"commit": "bdab788d",
"author": "Eren @erogol",
@ -238,7 +238,7 @@
"sam": {
"tacotron-DDC": {
"description": "Tacotron2 with Double Decoder Consistency trained with Aceenture's Sam dataset.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--en--sam--tacotron-DDC.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--en--sam--tacotron-DDC.zip",
"default_vocoder": "vocoder_models/en/sam/hifigan_v2",
"commit": "bae2ad0f",
"author": "Eren Gölge @erogol",
@ -249,7 +249,7 @@
"blizzard2013": {
"capacitron-t2-c50": {
"description": "Capacitron additions to Tacotron 2 with Capacity at 50 as in https://arxiv.org/pdf/1906.03402.pdf",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.7.0_models/tts_models--en--blizzard2013--capacitron-t2-c50.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.7.0_models/tts_models--en--blizzard2013--capacitron-t2-c50.zip",
"commit": "d6284e7",
"default_vocoder": "vocoder_models/en/blizzard2013/hifigan_v2",
"author": "Adam Froghyar @a-froghyar",
@ -258,7 +258,7 @@
},
"capacitron-t2-c150_v2": {
"description": "Capacitron additions to Tacotron 2 with Capacity at 150 as in https://arxiv.org/pdf/1906.03402.pdf",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.7.1_models/tts_models--en--blizzard2013--capacitron-t2-c150_v2.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.7.1_models/tts_models--en--blizzard2013--capacitron-t2-c150_v2.zip",
"commit": "a67039d",
"default_vocoder": "vocoder_models/en/blizzard2013/hifigan_v2",
"author": "Adam Froghyar @a-froghyar",
@ -270,15 +270,15 @@
"tortoise-v2": {
"description": "Tortoise tts model https://github.com/neonbjb/tortoise-tts",
"github_rls_url": [
"https://coqui.gateway.scarf.sh/v0.14.1_models/autoregressive.pth",
"https://coqui.gateway.scarf.sh/v0.14.1_models/clvp2.pth",
"https://coqui.gateway.scarf.sh/v0.14.1_models/cvvp.pth",
"https://coqui.gateway.scarf.sh/v0.14.1_models/diffusion_decoder.pth",
"https://coqui.gateway.scarf.sh/v0.14.1_models/rlg_auto.pth",
"https://coqui.gateway.scarf.sh/v0.14.1_models/rlg_diffuser.pth",
"https://coqui.gateway.scarf.sh/v0.14.1_models/vocoder.pth",
"https://coqui.gateway.scarf.sh/v0.14.1_models/mel_norms.pth",
"https://coqui.gateway.scarf.sh/v0.14.1_models/config.json"
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/autoregressive.pth",
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/clvp2.pth",
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/cvvp.pth",
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/diffusion_decoder.pth",
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/rlg_auto.pth",
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/rlg_diffuser.pth",
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/vocoder.pth",
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/mel_norms.pth",
"https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/config.json"
],
"commit": "c1875f6",
"default_vocoder": null,
@ -289,7 +289,7 @@
"jenny": {
"jenny": {
"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",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.14.0_models/tts_models--en--jenny--jenny.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.14.0_models/tts_models--en--jenny--jenny.zip",
"default_vocoder": null,
"commit": "ba40a1c",
"license": "custom - see https://github.com/dioco-group/jenny-tts-dataset#important",
@ -300,7 +300,7 @@
"es": {
"mai": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--es--mai--tacotron2-DDC.zip",
"default_vocoder": "vocoder_models/universal/libri-tts/fullband-melgan",
"commit": "",
"author": "Eren Gölge @erogol",
@ -310,7 +310,7 @@
},
"css10": {
"vits": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--es--css10--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -321,7 +321,7 @@
"fr": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--fr--mai--tacotron2-DDC.zip",
"default_vocoder": "vocoder_models/universal/libri-tts/fullband-melgan",
"commit": null,
"author": "Eren Gölge @erogol",
@ -331,7 +331,7 @@
},
"css10": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--fr--css10--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--fr--css10--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -342,7 +342,7 @@
"uk": {
"mai": {
"glow-tts": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--uk--mai--glow-tts.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--uk--mai--glow-tts.zip",
"author": "@robinhad",
"commit": "bdab788d",
"license": "MIT",
@ -350,7 +350,7 @@
"default_vocoder": "vocoder_models/uk/mai/multiband-melgan"
},
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--uk--mai--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -361,7 +361,7 @@
"zh-CN": {
"baker": {
"tacotron2-DDC-GST": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--zh-CN--baker--tacotron2-DDC-GST.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--zh-CN--baker--tacotron2-DDC-GST.zip",
"commit": "unknown",
"author": "@kirianguiller",
"license": "apache 2.0",
@ -372,7 +372,7 @@
"nl": {
"mai": {
"tacotron2-DDC": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--nl--mai--tacotron2-DDC.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--nl--mai--tacotron2-DDC.zip",
"author": "@r-dh",
"license": "apache 2.0",
"default_vocoder": "vocoder_models/nl/mai/parallel-wavegan",
@ -382,7 +382,7 @@
},
"css10": {
"vits": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--nl--css10--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -393,21 +393,21 @@
"de": {
"thorsten": {
"tacotron2-DCA": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--de--thorsten--tacotron2-DCA.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--de--thorsten--tacotron2-DCA.zip",
"default_vocoder": "vocoder_models/de/thorsten/fullband-melgan",
"author": "@thorstenMueller",
"license": "apache 2.0",
"commit": "unknown"
},
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.7.0_models/tts_models--de--thorsten--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.7.0_models/tts_models--de--thorsten--vits.zip",
"default_vocoder": null,
"author": "@thorstenMueller",
"license": "apache 2.0",
"commit": "unknown"
},
"tacotron2-DDC": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--de--thorsten--tacotron2-DDC.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--de--thorsten--tacotron2-DDC.zip",
"default_vocoder": "vocoder_models/de/thorsten/hifigan_v1",
"description": "Thorsten-Dec2021-22k-DDC",
"author": "@thorstenMueller",
@ -417,7 +417,7 @@
},
"css10": {
"vits-neon": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--de--css10--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--de--css10--vits.zip",
"default_vocoder": null,
"author": "@NeonGeckoCom",
"license": "bsd-3-clause",
@ -428,7 +428,7 @@
"ja": {
"kokoro": {
"tacotron2-DDC": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--ja--kokoro--tacotron2-DDC.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--ja--kokoro--tacotron2-DDC.zip",
"default_vocoder": "vocoder_models/ja/kokoro/hifigan_v1",
"description": "Tacotron2 with Double Decoder Consistency trained with Kokoro Speech Dataset.",
"author": "@kaiidams",
@ -440,7 +440,7 @@
"tr": {
"common-voice": {
"glow-tts": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/tts_models--tr--common-voice--glow-tts.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--tr--common-voice--glow-tts.zip",
"default_vocoder": "vocoder_models/tr/common-voice/hifigan",
"license": "MIT",
"description": "Turkish GlowTTS model using an unknown speaker from the Common-Voice dataset.",
@ -452,7 +452,7 @@
"it": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--it--mai_female--glow-tts.zip",
"default_vocoder": null,
"description": "GlowTTS model as explained on https://github.com/coqui-ai/TTS/issues/1148.",
"author": "@nicolalandro",
@ -460,7 +460,7 @@
"commit": null
},
"vits": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--it--mai_female--vits.zip",
"default_vocoder": null,
"description": "GlowTTS model as explained on https://github.com/coqui-ai/TTS/issues/1148.",
"author": "@nicolalandro",
@ -470,7 +470,7 @@
},
"mai_male": {
"glow-tts": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--it--mai_male--glow-tts.zip",
"default_vocoder": null,
"description": "GlowTTS model as explained on https://github.com/coqui-ai/TTS/issues/1148.",
"author": "@nicolalandro",
@ -478,7 +478,7 @@
"commit": null
},
"vits": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/tts_models--it--mai_male--vits.zip",
"default_vocoder": null,
"description": "GlowTTS model as explained on https://github.com/coqui-ai/TTS/issues/1148.",
"author": "@nicolalandro",
@ -490,7 +490,7 @@
"ewe": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.2_models/tts_models--ewe--openbible--vits.zip",
"default_vocoder": null,
"license": "CC-BY-SA 4.0",
"description": "Original work (audio and text) by Biblica available for free at www.biblica.com and open.bible.",
@ -502,7 +502,7 @@
"hau": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.2_models/tts_models--hau--openbible--vits.zip",
"default_vocoder": null,
"license": "CC-BY-SA 4.0",
"description": "Original work (audio and text) by Biblica available for free at www.biblica.com and open.bible.",
@ -514,7 +514,7 @@
"lin": {
"openbible": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.2_models/tts_models--lin--openbible--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.2_models/tts_models--lin--openbible--vits.zip",
"default_vocoder": null,
"license": "CC-BY-SA 4.0",
"description": "Original work (audio and text) by Biblica available for free at www.biblica.com and open.bible.",
@ -526,7 +526,7 @@
"tw_akuapem": {
"openbible": {
"vits": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.2_models/tts_models--tw_akuapem--openbible--vits.zip",
"default_vocoder": null,
"license": "CC-BY-SA 4.0",
"description": "Original work (audio and text) by Biblica available for free at www.biblica.com and open.bible.",
@ -538,7 +538,7 @@
"tw_asante": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.2_models/tts_models--tw_asante--openbible--vits.zip",
"default_vocoder": null,
"license": "CC-BY-SA 4.0",
"description": "Original work (audio and text) by Biblica available for free at www.biblica.com and open.bible.",
@ -550,7 +550,7 @@
"yor": {
"openbible": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.2_models/tts_models--yor--openbible--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.2_models/tts_models--yor--openbible--vits.zip",
"default_vocoder": null,
"license": "CC-BY-SA 4.0",
"description": "Original work (audio and text) by Biblica available for free at www.biblica.com and open.bible.",
@ -562,7 +562,7 @@
"hu": {
"css10": {
"vits": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--hu--css10--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -573,7 +573,7 @@
"el": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--el--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -584,7 +584,7 @@
"fi": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--fi--css10--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -595,7 +595,7 @@
"hr": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--hr--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -606,7 +606,7 @@
"lt": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--lt--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -617,7 +617,7 @@
"lv": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--lv--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -628,7 +628,7 @@
"mt": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--mt--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -639,7 +639,7 @@
"pl": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--pl--mai_female--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -650,7 +650,7 @@
"pt": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--pt--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -661,7 +661,7 @@
"ro": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--ro--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -672,7 +672,7 @@
"sk": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--sk--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -683,7 +683,7 @@
"sl": {
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"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--sl--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -694,7 +694,7 @@
"sv": {
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"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/tts_models--sv--cv--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/tts_models--sv--cv--vits.zip",
"default_vocoder": null,
"commit": null,
"author": "@NeonGeckoCom",
@ -705,7 +705,7 @@
"ca": {
"custom": {
"vits": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.10.1_models/tts_models--ca--custom--vits.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.10.1_models/tts_models--ca--custom--vits.zip",
"default_vocoder": null,
"commit": null,
"description": " It is trained from zero with 101460 utterances consisting of 257 speakers, approx 138 hours of speech. We used three datasets;\nFestcat and Google Catalan TTS (both TTS datasets) and also a part of Common Voice 8. It is trained with TTS v0.8.0.\nhttps://github.com/coqui-ai/TTS/discussions/930#discussioncomment-4466345",
@ -717,7 +717,7 @@
"fa": {
"custom": {
"glow-tts": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.10.1_models/tts_models--fa--custom--glow-tts.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.10.1_models/tts_models--fa--custom--glow-tts.zip",
"default_vocoder": null,
"commit": null,
"description": "persian-tts-female-glow_tts model for text to speech purposes. Single-speaker female voice Trained on persian-tts-dataset-famale. \nThis model has no compatible vocoder thus the output quality is not very good. \nDataset: https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale.",
@ -729,7 +729,7 @@
"bn": {
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"github_rls_url": "https://coqui.gateway.scarf.sh/v0.13.3_models/tts_models--bn--custom--vits_male.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.13.3_models/tts_models--bn--custom--vits_male.zip",
"default_vocoder": null,
"commit": null,
"description": "Single speaker Bangla male model. For more information -> https://github.com/mobassir94/comprehensive-bangla-tts",
@ -737,7 +737,7 @@
"license": "Apache 2.0"
},
"vits-female": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.13.3_models/tts_models--bn--custom--vits_female.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.13.3_models/tts_models--bn--custom--vits_female.zip",
"default_vocoder": null,
"commit": null,
"description": "Single speaker Bangla female model. For more information -> https://github.com/mobassir94/comprehensive-bangla-tts",
@ -750,7 +750,7 @@
"common-voice": {
"glow-tts":{
"description": "Belarusian GlowTTS model created by @alex73 (Github).",
"github_rls_url":"https://coqui.gateway.scarf.sh/v0.16.6/tts_models--be--common-voice--glow-tts.zip",
"github_rls_url":"https://github.com/coqui-ai/TTS/releases/download/v0.16.6/tts_models--be--common-voice--glow-tts.zip",
"default_vocoder": "vocoder_models/be/common-voice/hifigan",
"commit": "c0aabb85",
"license": "CC-BY-SA 4.0",
@ -763,14 +763,14 @@
"universal": {
"libri-tts": {
"wavegrad": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--universal--libri-tts--wavegrad.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--universal--libri-tts--wavegrad.zip",
"commit": "ea976b0",
"author": "Eren Gölge @erogol",
"license": "MPL",
"contact": "egolge@coqui.com"
},
"fullband-melgan": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--universal--libri-tts--fullband-melgan.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--universal--libri-tts--fullband-melgan.zip",
"commit": "4132240",
"author": "Eren Gölge @erogol",
"license": "MPL",
@ -782,14 +782,14 @@
"ek1": {
"wavegrad": {
"description": "EK1 en-rp wavegrad by NMStoker",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--en--ek1--wavegrad.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--en--ek1--wavegrad.zip",
"commit": "c802255",
"license": "apache 2.0"
}
},
"ljspeech": {
"multiband-melgan": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--en--ljspeech--multiband-melgan.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--en--ljspeech--multiband-melgan.zip",
"commit": "ea976b0",
"author": "Eren Gölge @erogol",
"license": "MPL",
@ -797,7 +797,7 @@
},
"hifigan_v2": {
"description": "HiFiGAN_v2 LJSpeech vocoder from https://arxiv.org/abs/2010.05646.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--en--ljspeech--hifigan_v2.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--en--ljspeech--hifigan_v2.zip",
"commit": "bae2ad0f",
"author": "@erogol",
"license": "apache 2.0",
@ -805,7 +805,7 @@
},
"univnet": {
"description": "UnivNet model finetuned on TacotronDDC_ph spectrograms for better compatibility.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--en--ljspeech--univnet_v2.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--en--ljspeech--univnet_v2.zip",
"commit": "4581e3d",
"author": "Eren @erogol",
"license": "apache 2.0",
@ -815,7 +815,7 @@
"blizzard2013": {
"hifigan_v2": {
"description": "HiFiGAN_v2 LJSpeech vocoder from https://arxiv.org/abs/2010.05646.",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.7.0_models/vocoder_models--en--blizzard2013--hifigan_v2.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.7.0_models/vocoder_models--en--blizzard2013--hifigan_v2.zip",
"commit": "d6284e7",
"author": "Adam Froghyar @a-froghyar",
"license": "apache 2.0",
@ -825,7 +825,7 @@
"vctk": {
"hifigan_v2": {
"description": "Finetuned and intended to be used with tts_models/en/vctk/sc-glow-tts",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--en--vctk--hifigan_v2.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--en--vctk--hifigan_v2.zip",
"commit": "2f07160",
"author": "Edresson Casanova",
"license": "apache 2.0",
@ -835,7 +835,7 @@
"sam": {
"hifigan_v2": {
"description": "Finetuned and intended to be used with tts_models/en/sam/tacotron_DDC",
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--en--sam--hifigan_v2.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--en--sam--hifigan_v2.zip",
"commit": "2f07160",
"author": "Eren Gölge @erogol",
"license": "apache 2.0",
@ -846,7 +846,7 @@
"nl": {
"mai": {
"parallel-wavegan": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--nl--mai--parallel-wavegan.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--nl--mai--parallel-wavegan.zip",
"author": "@r-dh",
"license": "apache 2.0",
"commit": "unknown"
@ -856,19 +856,19 @@
"de": {
"thorsten": {
"wavegrad": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--de--thorsten--wavegrad.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--de--thorsten--wavegrad.zip",
"author": "@thorstenMueller",
"license": "apache 2.0",
"commit": "unknown"
},
"fullband-melgan": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--de--thorsten--fullband-melgan.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--de--thorsten--fullband-melgan.zip",
"author": "@thorstenMueller",
"license": "apache 2.0",
"commit": "unknown"
},
"hifigan_v1": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.8.0_models/vocoder_models--de--thorsten--hifigan_v1.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.8.0_models/vocoder_models--de--thorsten--hifigan_v1.zip",
"description": "HifiGAN vocoder model for Thorsten Neutral Dec2021 22k Samplerate Tacotron2 DDC model",
"author": "@thorstenMueller",
"license": "apache 2.0",
@ -879,7 +879,7 @@
"ja": {
"kokoro": {
"hifigan_v1": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--ja--kokoro--hifigan_v1.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--ja--kokoro--hifigan_v1.zip",
"description": "HifiGAN model trained for kokoro dataset by @kaiidams",
"author": "@kaiidams",
"license": "apache 2.0",
@ -890,7 +890,7 @@
"uk": {
"mai": {
"multiband-melgan": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--uk--mai--multiband-melgan.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--uk--mai--multiband-melgan.zip",
"author": "@robinhad",
"commit": "bdab788d",
"license": "MIT",
@ -901,7 +901,7 @@
"tr": {
"common-voice": {
"hifigan": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.6.1_models/vocoder_models--tr--common-voice--hifigan.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.6.1_models/vocoder_models--tr--common-voice--hifigan.zip",
"description": "HifiGAN model using an unknown speaker from the Common-Voice dataset.",
"author": "Fatih Akademi",
"license": "MIT",
@ -912,7 +912,7 @@
"be": {
"common-voice": {
"hifigan": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.16.6/vocoder_models--be--common-voice--hifigan.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.16.6/vocoder_models--be--common-voice--hifigan.zip",
"description": "Belarusian HiFiGAN model created by @alex73 (Github).",
"author": "@alex73",
"license": "CC-BY-SA 4.0",
@ -925,7 +925,7 @@
"multilingual": {
"vctk": {
"freevc24": {
"github_rls_url": "https://coqui.gateway.scarf.sh/v0.13.0_models/voice_conversion_models--multilingual--vctk--freevc24.zip",
"github_rls_url": "https://github.com/coqui-ai/TTS/releases/download/v0.13.0_models/voice_conversion_models--multilingual--vctk--freevc24.zip",
"description": "FreeVC model trained on VCTK dataset from https://github.com/OlaWod/FreeVC",
"author": "Jing-Yi Li @OlaWod",
"license": "MIT",

10
TTS/demos/xtts_ft_demo/utils/gpt_train.py
View File

@ -43,8 +43,8 @@ def train_gpt(language, num_epochs, batch_size, grad_acumm, train_csv, eval_csv,
os.makedirs(CHECKPOINTS_OUT_PATH, exist_ok=True)
# DVAE files
DVAE_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/dvae.pth"
MEL_NORM_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/mel_stats.pth"
DVAE_CHECKPOINT_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/dvae.pth"
MEL_NORM_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/mel_stats.pth"
# Set the path to the downloaded files
DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(DVAE_CHECKPOINT_LINK))
@ -58,9 +58,9 @@ def train_gpt(language, num_epochs, batch_size, grad_acumm, train_csv, eval_csv,
)
# Download XTTS v2.0 checkpoint if needed
TOKENIZER_FILE_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/vocab.json"
XTTS_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/model.pth"
XTTS_CONFIG_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/config.json"
TOKENIZER_FILE_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/vocab.json"
XTTS_CHECKPOINT_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/model.pth"
XTTS_CONFIG_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/config.json"
# XTTS transfer learning parameters: You we need to provide the paths of XTTS model checkpoint that you want to do the fine tuning.
TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(TOKENIZER_FILE_LINK)) # vocab.json file

2
TTS/tts/layers/tortoise/arch_utils.py
View File

@ -293,7 +293,7 @@ class AudioMiniEncoder(nn.Module):
return h[:, :, 0]
DEFAULT_MEL_NORM_FILE = "https://coqui.gateway.scarf.sh/v0.14.1_models/mel_norms.pth"
DEFAULT_MEL_NORM_FILE = "https://github.com/coqui-ai/TTS/releases/download/v0.14.1_models/mel_norms.pth"
class TorchMelSpectrogram(nn.Module):

2
TTS/tts/layers/xtts/trainer/gpt_trainer.py
View File

@ -50,7 +50,7 @@ class GPTArgs(XttsArgs):
max_wav_length: int = 255995 # ~11.6 seconds
max_text_length: int = 200
tokenizer_file: str = ""
mel_norm_file: str = "https://coqui.gateway.scarf.sh/v0.14.0_models/mel_norms.pth"
mel_norm_file: str = "https://github.com/coqui-ai/TTS/releases/download/v0.14.0_models/mel_norms.pth"
dvae_checkpoint: str = ""
xtts_checkpoint: str = ""
gpt_checkpoint: str = "" # if defined it will replace the gpt weights on xtts model

16
TTS/utils/manage.py
View File

@ -230,7 +230,7 @@ class ModelManager(object):
self._download_zip_file(model_item["hf_url"], output_path, self.progress_bar)
def download_fairseq_model(self, model_name, output_path):
URI_PREFIX = "https://coqui.gateway.scarf.sh/fairseq/"
URI_PREFIX = "https://dl.fbaipublicfiles.com/mms/tts/"
_, lang, _, _ = model_name.split("/")
model_download_uri = os.path.join(URI_PREFIX, f"{lang}.tar.gz")
self._download_tar_file(model_download_uri, output_path, self.progress_bar)
@ -243,9 +243,9 @@ class ModelManager(object):
elif "hf_url" in model_item:
model_item["model_url"] = model_item["hf_url"]
elif "fairseq" in model_item["model_name"]:
model_item["model_url"] = "https://coqui.gateway.scarf.sh/fairseq/"
model_item["model_url"] = "https://dl.fbaipublicfiles.com/mms/tts/"
elif "xtts" in model_item["model_name"]:
model_item["model_url"] = "https://coqui.gateway.scarf.sh/xtts/"
model_item["model_url"] = "https://huggingface.co/coqui/"
return model_item
def _set_model_item(self, model_name):
@ -278,11 +278,11 @@ class ModelManager(object):
"contact": "info@coqui.ai",
"tos_required": True,
"hf_url": [
f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/model.pth",
f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/config.json",
f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/vocab.json",
f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/hash.md5",
f"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/{model_version}/speakers_xtts.pth",
f"https://huggingface.co/coqui/XTTS-v2/resolve/{model_version}/model.pth",
f"https://huggingface.co/coqui/XTTS-v2/resolve/{model_version}/config.json",
f"https://huggingface.co/coqui/XTTS-v2/resolve/{model_version}/vocab.json",
f"https://huggingface.co/coqui/XTTS-v2/resolve/{model_version}/hash.md5",
f"https://huggingface.co/coqui/XTTS-v2/resolve/{model_version}/speakers_xtts.pth",
],
}
else:

2
pyproject.toml
View File

@ -82,7 +82,7 @@ dependencies = [
"gruut[de,es,fr]>=2.4.0",
# Tortoise
"einops>=0.6.0",
"transformers>=4.43.0",
"transformers>=4.43.0,<=4.46.2",
# Bark
"encodec>=0.1.1",
# XTTS

8
recipes/ljspeech/xtts_v1/train_gpt_xtts.py
View File

@ -41,8 +41,8 @@ os.makedirs(CHECKPOINTS_OUT_PATH, exist_ok=True)
# DVAE files
DVAE_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/dvae.pth"
MEL_NORM_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/mel_stats.pth"
DVAE_CHECKPOINT_LINK = "https://huggingface.co/coqui/XTTS-v1/resolve/v1.1.2/dvae.pth"
MEL_NORM_LINK = "https://huggingface.co/coqui/XTTS-v1/resolve/v1.1.2/mel_stats.pth"
# Set the path to the downloaded files
DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, DVAE_CHECKPOINT_LINK.split("/")[-1])
@ -55,8 +55,8 @@ if not os.path.isfile(DVAE_CHECKPOINT) or not os.path.isfile(MEL_NORM_FILE):
# Download XTTS v1.1 checkpoint if needed
TOKENIZER_FILE_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/vocab.json"
XTTS_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.2/model.pth"
TOKENIZER_FILE_LINK = "https://huggingface.co/coqui/XTTS-v1/resolve/v1.1.2/vocab.json"
XTTS_CHECKPOINT_LINK = "https://huggingface.co/coqui/XTTS-v1/resolve/v1.1.2/model.pth"
# XTTS transfer learning parameters: You we need to provide the paths of XTTS model checkpoint that you want to do the fine tuning.
TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, TOKENIZER_FILE_LINK.split("/")[-1]) # vocab.json file

8
recipes/ljspeech/xtts_v2/train_gpt_xtts.py
View File

@ -41,8 +41,8 @@ os.makedirs(CHECKPOINTS_OUT_PATH, exist_ok=True)
# DVAE files
DVAE_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/dvae.pth"
MEL_NORM_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/mel_stats.pth"
DVAE_CHECKPOINT_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/dvae.pth"
MEL_NORM_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/mel_stats.pth"
# Set the path to the downloaded files
DVAE_CHECKPOINT = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(DVAE_CHECKPOINT_LINK))
@ -55,8 +55,8 @@ if not os.path.isfile(DVAE_CHECKPOINT) or not os.path.isfile(MEL_NORM_FILE):
# Download XTTS v2.0 checkpoint if needed
TOKENIZER_FILE_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/vocab.json"
XTTS_CHECKPOINT_LINK = "https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v2/main/model.pth"
TOKENIZER_FILE_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/vocab.json"
XTTS_CHECKPOINT_LINK = "https://huggingface.co/coqui/XTTS-v2/resolve/main/model.pth"
# XTTS transfer learning parameters: You we need to provide the paths of XTTS model checkpoint that you want to do the fine tuning.
TOKENIZER_FILE = os.path.join(CHECKPOINTS_OUT_PATH, os.path.basename(TOKENIZER_FILE_LINK)) # vocab.json file