FunASR 说话人识别 Xvector 环境版本配置
xvector说话人确认-中文-cnceleb-16k-离线-pytorch · 模型库
阿里的 Xvector 生成模型，由于版本太老然而 pip 又默认安装各种最新的包，笔者一开始也是各种报错，如：
sv-inference not found
去pip官网找历史文件试了半天才试出来。python==3.8，torch==1.13和模型readme一样
关键点在于：
datasets==2.8.0
modelscope==1.6.0
完整环境配置如下：
absl-py==2.3.1
addict==2.4.0
aiohappyeyeballs==2.4.4
aiohttp==3.10.11
aiosignal==1.3.1
aliyun-python-sdk-core==2.16.0
aliyun-python-sdk-kms==2.16.5
antlr4-python3-runtime==4.9.3
async-timeout==5.0.1
attrs==25.3.0
audioread==3.0.1
cachetools==5.5.2
certifi==2025.7.14
cffi==1.17.1
charset-normalizer==3.4.2
crcmod==1.7
cryptography==45.0.5
datasets==2.8.0
decorator==5.2.1
dill==0.3.6
editdistance==0.8.1
einops==0.8.1
filelock==3.16.1
frozenlist==1.5.0
fsspec==2023.10.0
funasr==0.8.7
gast==0.6.0
google-auth==2.40.3
google-auth-oauthlib==1.0.0
grpcio==1.70.0
hdbscan==0.8.40
hf-xet==1.1.5
huggingface-hub==0.33.4
humanfriendly==10.0
hydra-core==1.3.2
idna==3.10
importlib_metadata==8.5.0
importlib_resources==6.4.5
jaconv==0.4.0
jamo==0.4.1
jieba==0.42.1
jmespath==0.10.0
joblib==1.4.2
kaldiio==2.18.1
lazy_loader==0.4
librosa==0.11.0
llvmlite==0.41.1
Markdown==3.7
MarkupSafe==2.1.5
modelscope==1.6.0
msgpack==1.1.1
multidict==6.1.0
multiprocess==0.70.14
numba==0.58.1
numpy==1.22.0
oauthlib==3.3.1
omegaconf==2.3.0
oss2==2.19.1
packaging==25.0
pandas==1.3.5
pillow==10.4.0
platformdirs==4.3.6
pooch==1.8.2
propcache==0.2.0
protobuf==5.29.5
pyarrow==17.0.0
pyarrow-hotfix==0.7
pyasn1==0.6.1
pyasn1_modules==0.4.2
pycparser==2.22
pycryptodome==3.23.0
pynndescent==0.5.13
python-dateutil==2.9.0.post0
pytorch-wpe==0.0.1
pytz==2025.2
PyYAML==6.0.2
regex==2024.11.6
requests==2.32.4
requests-oauthlib==2.0.0
responses==0.18.0
rsa==4.9.1
safetensors==0.5.3
scikit-learn==1.3.2
scipy==1.10.1
sentencepiece==0.2.0
simplejson==3.20.1
six==1.17.0
sortedcontainers==2.4.0
soundfile==0.13.1
soxr==0.3.7
tensorboard==2.14.0
tensorboard-data-server==0.7.2
tensorboardX==2.6.2.2
threadpoolctl==3.5.0
tokenizers==0.20.3
tomli==2.2.1
torch==1.13.1
torch-complex==0.4.4
torchaudio==0.13.1
tqdm==4.67.1
transformers==4.46.3
typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1717802530399/work
tzdata==2025.2
umap==0.1.1
umap-learn==0.5.7
urllib3==2.2.3
Werkzeug==3.0.6
xxhash==3.5.0
yapf==0.43.0
yarl==1.15.2
zipp==3.20.2