voice_activity_detection | Audio Split 基于双门限法的语音端点检测及语音分割 | Frontend Framework library

by Zhangtingyuxuan Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | voice_activity_detection Summary

voice_activity_detection is a Python library typically used in User Interface, Frontend Framework, React, Nodejs applications. voice_activity_detection has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However voice_activity_detection build file is not available. You can download it from GitHub.

Audio Split 基于双门限法的语音端点检测及语音分割

Support

Quality

Security

License

Reuse

Support

voice_activity_detection has a low active ecosystem.

It has 33 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 34 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of voice_activity_detection is current.

Quality

voice_activity_detection has 0 bugs and 0 code smells.

Security

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

voice_activity_detection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

voice_activity_detection is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

voice_activity_detection has no build file. You will be need to create the build yourself to build the component from source.

It has 796 lines of code, 39 functions and 2 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of voice_activity_detection

Get all kandi verified functions for this library.

voice_activity_detection Key Features

No Key Features are available at this moment for voice_activity_detection.

voice_activity_detection Examples and Code Snippets

No Code Snippets are available at this moment for voice_activity_detection.

Community Discussions

Trending Discussions on voice_activity_detection

WebRTC Native, AudioTrackSinkInterface added to track, but OnData is never called

QUESTION

WebRTC Native, AudioTrackSinkInterface added to track, but OnData is never called

Asked 2018-Feb-21 at 13:13

I've been working on a product that uses WebRTC to exchange audio between a browser and a native client, the native side being implemented in C++. Currently I've built the latest stable release of webRtc (branch: branch-heads/65).

So far, I'm able to get the connection peers to connect, audio is received and rendered correctly on the browser. However, the native client seems to never receive any data through it's audio track sink, despite the chrome debug tools suggesting that data is being sent from the browser to the native client.

The following code is definitely called, and the channel is being added as expected.

...

ANSWER

Answered 2018-Feb-21 at 13:13

I've managed to find an alternative approach to getting audio data from WebRTC which allows one to work around this issue.

Implement a custom webrtc::AudioDeviceModule implementation. Look at the webrtc source code to see how one might do this.
Capture the audio transport in the RegisterAudioCallback method, which is invoked when the call is established.

Snippet:

Source https://stackoverflow.com/questions/48702418

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

Vulnerabilities

No vulnerabilities reported

Install voice_activity_detection

You can download it from GitHub.
You can use voice_activity_detection 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: