Comments (2)
@domcross Ideally, validation size is 5 % of your total data point but vocoder performance usually subjective to listening only so 5 to 10 number of files would be fine. I generally use 5 files as validation.
Make sure batch size should always 16, and training around 800k step (around 600 epochs ) starting giving good results.
from vocgan.
Thanks.
from vocgan.
Related Issues (18)
- Assertion error: torchaaudio resample_waveform related HOT 3
- [Question] Multi-Speaker Training HOT 2
- [Proposal] Reduce training time by resampling beforehand HOT 1
- KeyError: '__getstate__' HOT 1
- [Question] How to change configuration parameters for 16KHz or 24Khz training data HOT 3
- What did you use to generate the mel files from text? HOT 1
- Should there be any changes in the inference code for Korean inputs? HOT 3
- validation path and valid data
- JCU Discriminator implementation details
- Is it possible to train KSS dataset in master branch? HOT 2
- Quality Comparison HOT 1
- Can't I change the length of my voice length? HOT 1
- Any pretrained models? HOT 2
- What major issue are you facing right now? HOT 1
- Training speed?
- Inference speed on CPU HOT 2
- Metallic / Robotic sound 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 vocgan.