vad | Simple voice activity detection algorithm in Python

 by   MorenoLaQuatra Python Version: 1.0.2 License: MIT

kandi X-RAY | vad Summary

kandi X-RAY | vad Summary

vad is a Python library. vad has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install vad' or download it from GitHub, PyPI.

This is a simple voice activity detection (VAD) algorithm in Python. It is based on simple energy-based thresholding and is intended to be used as a simple method for detecting speech in audio files when other methods cannot be used for both privacy, performance, or other reasons.
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            kandi-support Support

              vad has a low active ecosystem.
              It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              vad has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of vad is 1.0.2

            kandi-Quality Quality

              vad has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              vad is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              vad releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

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            vad Key Features

            No Key Features are available at this moment for vad.

            vad Examples and Code Snippets

            No Code Snippets are available at this moment for vad.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install vad

            You can install the package using pip:.

            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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            Install
          • PyPI

            pip install vad

          • CLONE
          • HTTPS

            https://github.com/MorenoLaQuatra/vad.git

          • CLI

            gh repo clone MorenoLaQuatra/vad

          • sshUrl

            git@github.com:MorenoLaQuatra/vad.git

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