LPCNet_codec2

by drowe67 Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | LPCNet_codec2 Summary

LPCNet_codec2 is a Python library. LPCNet_codec2 has no bugs, it has no vulnerabilities and it has low support. However LPCNet_codec2 build file is not available and it has a Non-SPDX License. You can download it from GitLab.

LPCNet_codec2

Support

Quality

Security

License

Reuse

Support

LPCNet_codec2 has a low active ecosystem.

It has 7 star(s) with 2 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LPCNet_codec2 is current.

Quality

LPCNet_codec2 has no bugs reported.

Security

LPCNet_codec2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

LPCNet_codec2 has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

LPCNet_codec2 releases are not available. You will need to build from source code and install.

LPCNet_codec2 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.

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LPCNet_codec2 Key Features

No Key Features are available at this moment for LPCNet_codec2.

LPCNet_codec2 Examples and Code Snippets

No Code Snippets are available at this moment for LPCNet_codec2.

Community Discussions

No Community Discussions are available at this moment for LPCNet_codec2.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install LPCNet_codec2

Set up a Keras system with GPU.
Set up a Keras system with GPU.
Build codec2-dev
Given a 16 kHz training file all_speechcat.sw:
You can synthesise speech with:

Support

For any new features, suggestions and bugs create an issue on GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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