Comments (1)
Thanks to syousen, for offline egs, get_chunk_egs()
in subtools/pytorch/pipeline/onestep/get_chunk_egs.py
will generate num_targets file.
I find after the train, val set split, the num_spkrs of the train set is reduced because some speakers will be removed since their utterances are all split to the val set.
While it has no influence on the utt2spk label utt2spk_int
, because it's not updated in filter()
of the KaldiDataset
in subtools/pytorch/libs/egs/kaldi_dataset.py
. Only attributes belong to 'utt_first_files' and 'spk_first_files' are changed in filter()
function.
So I recommend in subtools/pytorch/pipeline/onestep/get_chunk_egs.py
, use dataset.num_spks
instead of trainset.num_spks
to generate the */info/num_targets
file.
from asv-subtools.
Related Issues (20)
- 多gpu运行 HOT 5
- 百度云盘的voxceleb recipe链接已经失效了,可以重新分享么?
- run Voxceleb Recipe [Speaker Recognition] HOT 3
- subtools/scoreSets.sh中191行特征提取错误数统计值errorNum HOT 1
- 多卡运行报错join() HOT 1
- Removing deprecated has_key function
- 多卡GPU运行失败 HOT 2
- 想完成一个说话人确认系统,应该怎么开始? HOT 2
- Are there any plans to add the onnx conversion module to the model?
- rirs 和 musan 在哪里下载的?
- train.py,# Recover checkpoint 没有将loss的weight的保存,仅load模型,是不是有问题? HOT 1
- 当使用ResNet模型进行迁移的问题 HOT 1
- subtools/pytorch/pipeline/export_jit_model.sh 导出模型报错 HOT 2
- runtime中的processor打分模块能否开源一下
- 是否准备提供onnx 导出功能的支持 HOT 2
- 发现了一个逻辑漏洞/found a bug
- online训练提示标签越界问题:Assertion `idx_dim >= 0 && idx_dim < index_size && "index out of bounds"`
- subtools/pytorch/model/resnet_xvector.py文件152行多写了一个self x = self.self.cmvn_(x)
- extras/check_dependencies.sh: 13: function: not found HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from asv-subtools.