LPCNet | Efficient neural speech synthesis

by xiph C Version: v0.1 License: BSD-3-Clause

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kandi X-RAY | LPCNet Summary

LPCNet is a C library. LPCNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Work in progress software for researching low CPU complexity algorithms for speech synthesis and compression by applying Linear Prediction techniques to WaveRNN. High quality speech can be synthesised on regular CPUs (around 3 GFLOP) with SIMD support (SSE2, SSSE3, AVX, AVX2/FMA, NEON currently supported). The code also supports very low bitrate compression at 1.6 kb/s. The BSD licensed software is written in C and Python/Keras. For training, a GTX 1080 Ti or better is recommended. This software is an open source starting point for LPCNet/WaveRNN-based speech synthesis and coding.

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Quality

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License

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Support

LPCNet has a medium active ecosystem.

It has 1026 star(s) with 290 fork(s). There are 71 watchers for this library.

It had no major release in the last 6 months.

There are 59 open issues and 132 have been closed. On average issues are closed in 263 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of LPCNet is v0.1

Quality

LPCNet has no bugs reported.

Security

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

License

LPCNet is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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LPCNet Key Features

No Key Features are available at this moment for LPCNet.

LPCNet Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install LPCNet

You can download it from GitHub.

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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