TensorFlow-Voice-Authentication-episode-31 | ever want to have your own Audio verification
kandi X-RAY | TensorFlow-Voice-Authentication-episode-31 Summary
kandi X-RAY | TensorFlow-Voice-Authentication-episode-31 Summary
TensorFlow-Voice-Authentication-episode-31 is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. TensorFlow-Voice-Authentication-episode-31 has no bugs, it has no vulnerabilities and it has low support. However TensorFlow-Voice-Authentication-episode-31 build file is not available. You can download it from GitHub.
Did you ever want to have your own Audio verification/authentication application? You can now! See the live video here to learn how to do it in TensorFlow.
Did you ever want to have your own Audio verification/authentication application? You can now! See the live video here to learn how to do it in TensorFlow.
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TensorFlow-Voice-Authentication-episode-31 has a low active ecosystem.
It has 5 star(s) with 1 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 776 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TensorFlow-Voice-Authentication-episode-31 is current.
Quality
TensorFlow-Voice-Authentication-episode-31 has no bugs reported.
Security
TensorFlow-Voice-Authentication-episode-31 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
TensorFlow-Voice-Authentication-episode-31 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.
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TensorFlow-Voice-Authentication-episode-31 releases are not available. You will need to build from source code and install.
TensorFlow-Voice-Authentication-episode-31 has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed TensorFlow-Voice-Authentication-episode-31 and discovered the below as its top functions. This is intended to give you an instant insight into TensorFlow-Voice-Authentication-episode-31 implemented functionality, and help decide if they suit your requirements.
- Train a model
- Create model
- Get data from a pickled file
- Get all file data
- Get all files in a folder
- Get test files
Get all kandi verified functions for this library.
TensorFlow-Voice-Authentication-episode-31 Key Features
No Key Features are available at this moment for TensorFlow-Voice-Authentication-episode-31.
TensorFlow-Voice-Authentication-episode-31 Examples and Code Snippets
No Code Snippets are available at this moment for TensorFlow-Voice-Authentication-episode-31.
Community Discussions
No Community Discussions are available at this moment for TensorFlow-Voice-Authentication-episode-31.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TensorFlow-Voice-Authentication-episode-31
Run in root folder,. Login to the container,. Go to /scripts folder and run.
You need to have Docker installed
Go to data/scripts/files/first and add 100-200 wav files of one person saying something
Go to data/scripts/files/second and add 100-200 wav files of another person saying the same thing
Go to data/scripts/files/test and add test wavs from these people (saying the same thing)
You need to have Docker installed
Go to data/scripts/files/first and add 100-200 wav files of one person saying something
Go to data/scripts/files/second and add 100-200 wav files of another person saying the same thing
Go to data/scripts/files/test and add test wavs from these people (saying the same thing)
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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