Deep_Speaker | Code implements the Deep-Speaker implementation
kandi X-RAY | Deep_Speaker Summary
kandi X-RAY | Deep_Speaker Summary
Deep_Speaker is a Python library. Deep_Speaker has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
This Code implements the Deep-Speaker implementation of Speaker Verification and also provides the ROC curve for it.
This Code implements the Deep-Speaker implementation of Speaker Verification and also provides the ROC curve for it.
Support
Quality
Security
License
Reuse
Support
Deep_Speaker has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Deep_Speaker has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Deep_Speaker is current.
Quality
Deep_Speaker has no bugs reported.
Security
Deep_Speaker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Deep_Speaker is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Deep_Speaker releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Deep_Speaker and discovered the below as its top functions. This is intended to give you an instant insight into Deep_Speaker implemented functionality, and help decide if they suit your requirements.
- Create a convolutional network .
- Deep speaker loss .
- Initialize the algorithm .
- Resolve the identity block .
- Draw a line between two points
- Preprocess the input signal .
- Finds all coordinates along the circle .
- Creates a directory and deletes it .
- Get the layer from obj .
- Computes the cosine similarity between two vectors .
Get all kandi verified functions for this library.
Deep_Speaker Key Features
No Key Features are available at this moment for Deep_Speaker.
Deep_Speaker Examples and Code Snippets
No Code Snippets are available at this moment for Deep_Speaker.
Community Discussions
No Community Discussions are available at this moment for Deep_Speaker.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Deep_Speaker
You can download it from GitHub.
You can use Deep_Speaker 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 Deep_Speaker 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 .
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