speaker-diarization | Differentiates different speakers in a speech or audio file

by kandikits Jupyter Notebook Version: v1.0.0 License: MIT

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kandi X-RAY | speaker-diarization Summary

speaker-diarization is a Jupyter Notebook library. speaker-diarization has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Speaker Diarization is the process of identifying and distinguishing the different speakers in a speech/audio file. In this repo, we will make use of open source libraries for implementing a speaker diarization processing pipeline for audio files.

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Support

speaker-diarization has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

speaker-diarization has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of speaker-diarization is v1.0.0

Quality

speaker-diarization has no bugs reported.

Security

speaker-diarization has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

speaker-diarization is licensed under the MIT License. This license is Permissive.

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

Reuse

speaker-diarization releases are available to install and integrate.

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

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speaker-diarization Key Features

No Key Features are available at this moment for speaker-diarization.

speaker-diarization Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install speaker-diarization

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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