# Exact package versions of the environment in which the paper's models were trained and evaluated.
#
# Python 3.12.15 (CPython), Linux x86-64; torch 2.14.0 built for CUDA 13.0 (the NVIDIA and CUDA packages below are
# installed by torch on Linux). Read from the installed package metadata of that environment.
#
# Contents: the dependencies of `pip install ".[train,eval]"` (pyproject.toml) and everything they require,
# including misaki[en] through kokoro. Left out because training/ and eval/ never import them: datasets,
# matplotlib, openai-whisper, jiwer, soundfile and their own dependencies (29 packages in all). This
# repository itself is installed separately (pip install -e . --no-deps).
#
#   python3.12 -m venv .venv && . .venv/bin/activate
#   pip install -r training/requirements-lock.txt
#   pip install -e . --no-deps
#
# Misaki's English pipeline also needs spaCy's model en_core_web_sm 3.8.0 (MIT), which Misaki downloads on first
# use when it is missing; this is the version installed with the environment above
# (SHA-256 1932429db727d4bff3deed6b34cfc05df17794f4a52eeb26cf8928f7c1a0fb85):
en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl
addict==2.4.0
annotated-doc==0.0.5
annotated-types==0.8.0
anyio==4.15.1
attrs==26.1.0
babel==2.18.0
blis==1.3.3
catalogue==2.0.10
certifi==2026.7.22
charset-normalizer==3.5.1
click==8.5.0
cloudpathlib==0.25.0
cloudpickle==3.1.2
confection==1.3.3
csvw==4.1.0
cuda-bindings==13.4.1 ; platform_system == "Linux"
cuda-pathfinder==1.8.1 ; platform_system == "Linux"
cuda-toolkit==13.0.3.0 ; platform_system == "Linux"
curated-tokenizers==0.0.10
curated-transformers==0.1.1
cymem==2.0.13
dlinfo==2.0.0
docopt==0.6.2
espeakng-loader==0.2.4
filelock==3.32.6
flatbuffers==25.12.19
fsspec==2026.6.0
h11==0.16.0
hf-xet==1.6.0
httpcore==1.0.9
httpx==0.28.1
huggingface_hub==1.31.0
idna==3.19
isodate==0.7.2
Jinja2==3.1.6
joblib==1.6.0
jsonschema==4.26.0
jsonschema-specifications==2025.9.1
kokoro==0.9.4
language-tags==1.3.1
loguru==0.7.3
markdown-it-py==4.2.0
MarkupSafe==3.0.3
mdurl==0.1.2
misaki==0.9.4
ml_dtypes==0.6.0
mpmath==1.3.0
murmurhash==1.0.15
networkx==3.6.1
num2words==0.5.14
numpy==2.5.3
nvidia-cublas==13.1.1.3 ; platform_system == "Linux"
nvidia-cuda-cupti==13.0.85 ; platform_system == "Linux"
nvidia-cuda-nvrtc==13.0.88 ; platform_system == "Linux"
nvidia-cuda-runtime==13.0.96 ; platform_system == "Linux"
nvidia-cudnn-cu13==9.24.0.43 ; platform_system == "Linux"
nvidia-cufft==12.0.0.61 ; platform_system == "Linux"
nvidia-cufile==1.15.1.6 ; platform_system == "Linux"
nvidia-curand==10.4.0.35 ; platform_system == "Linux"
nvidia-cusolver==12.0.4.66 ; platform_system == "Linux"
nvidia-cusparse==12.6.3.3 ; platform_system == "Linux"
nvidia-cusparselt-cu13==0.8.1 ; platform_system == "Linux"
nvidia-nccl-cu13==2.30.7 ; platform_system == "Linux"
nvidia-nvjitlink==13.4.52 ; platform_system == "Linux"
nvidia-nvshmem-cu13==3.4.5 ; platform_system == "Linux"
nvidia-nvtx==13.0.85 ; platform_system == "Linux"
onnx==1.22.0
onnxruntime==1.30.0
packaging==26.3
phonemizer-fork==3.3.2
preshed==3.0.13
protobuf==7.36.1
pydantic==2.13.5
pydantic_core==2.46.5
Pygments==2.21.0
pyparsing==3.3.2
python-dateutil==2.9.0.post0
PyYAML==6.0.3
rdflib==7.6.0
referencing==0.37.0
regex==2026.9.10
requests==2.34.2
rfc3986==1.5.0
rich==15.0.0
rpds-py==2026.6.3
safetensors==0.8.0
scipy==1.18.1
segments==2.4.0
setuptools==84.0.0
shellingham==1.5.4
six==1.17.0
smart_open==8.0.1
spacy==3.8.16
spacy-curated-transformers==0.3.1
spacy-legacy==3.0.12
spacy-loggers==1.0.5
srsly==2.5.3
sympy==1.14.0
termcolor==3.3.0
thinc==8.3.13
tokenizers==0.23.2
torch==2.14.0
torchaudio==2.11.0
tqdm==4.70.1
transformers==5.17.0
triton==3.8.0 ; platform_system == "Linux"
typer==0.27.2
typing_extensions==4.16.0
typing-inspection==0.4.4
uritemplate==4.2.0
urllib3==2.7.0
wasabi==1.1.3
weasel==1.0.0
wrapt==2.4.1
