Lifelong-Learning-Tacotron2 | MultiSpeaker Tacotron2 using LifeLong Learning
kandi X-RAY | Lifelong-Learning-Tacotron2 Summary
kandi X-RAY | Lifelong-Learning-Tacotron2 Summary
Lifelong-Learning-Tacotron2 is a Python library. Lifelong-Learning-Tacotron2 has no bugs, it has no vulnerabilities and it has low support. However Lifelong-Learning-Tacotron2 build file is not available. You can download it from GitHub.
MultiSpeaker Tacotron2 using LifeLong Learning.
MultiSpeaker Tacotron2 using LifeLong Learning.
Support
Quality
Security
License
Reuse
Support
Lifelong-Learning-Tacotron2 has a low active ecosystem.
It has 12 star(s) with 1 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
Lifelong-Learning-Tacotron2 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Lifelong-Learning-Tacotron2 is current.
Quality
Lifelong-Learning-Tacotron2 has no bugs reported.
Security
Lifelong-Learning-Tacotron2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Lifelong-Learning-Tacotron2 does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Lifelong-Learning-Tacotron2 releases are not available. You will need to build from source code and install.
Lifelong-Learning-Tacotron2 has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Lifelong-Learning-Tacotron2 and discovered the below as its top functions. This is intended to give you an instant insight into Lifelong-Learning-Tacotron2 implemented functionality, and help decide if they suit your requirements.
- Create a new dataset from a tacotron2 dataset
- Performs the forward computation
- Parse the output
- Generate a mask from a list of lengths
- Perform the forward computation
- Parse decoder inputs
- Performs inference
- Decode the decoder
- Parse decoder outputs
- Get the next frame from memory
- Performs the Diag - Fisher algorithm
- Forward computation
- Update the model
- Compute the input tensors
- Inverse of convolution
- Build the utterance from a path
- Collate a batch of text
- Adjust the learning rate of the optimizer
- Parse a CMU file
- Get a mel spectrum from a file
- Computes the synthesis of the given text
- Plots the given data
- Load a tensor model
- Removes weight norm norm norm norm
- Convert text to English cleaners
- Preprocess ljspeech files
Get all kandi verified functions for this library.
Lifelong-Learning-Tacotron2 Key Features
No Key Features are available at this moment for Lifelong-Learning-Tacotron2.
Lifelong-Learning-Tacotron2 Examples and Code Snippets
No Code Snippets are available at this moment for Lifelong-Learning-Tacotron2.
Community Discussions
No Community Discussions are available at this moment for Lifelong-Learning-Tacotron2.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Lifelong-Learning-Tacotron2
You can download it from GitHub.
You can use Lifelong-Learning-Tacotron2 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Lifelong-Learning-Tacotron2 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page