speaker-diarization | Speaker diarization scripts , based on AaltoASR

by aalto-speech Python Version: Current License: No License

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

kandi X-RAY | speaker-diarization Summary

speaker-diarization is a Python library. speaker-diarization has no vulnerabilities and it has low support. However speaker-diarization has 2 bugs and it build file is not available. You can download it from GitHub.

This README describes the various scripts available for doing manual segmentation of media files, for annotation or other purposes, for speaker diarization, and converting from-to the file formats of several related tools. The scripts are either in python2 or perl, but interpreters for these should be readily available. Please send any questions/suggestions to .

Support

Quality

Security

License

Reuse

Support

speaker-diarization has a low active ecosystem.

It has 182 star(s) with 37 fork(s). There are 19 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 12 have been closed. On average issues are closed in 52 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of speaker-diarization is current.

Quality

speaker-diarization has 2 bugs (0 blocker, 0 critical, 2 major, 0 minor) and 470 code smells.

Security

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

speaker-diarization code analysis shows 0 unresolved vulnerabilities.

There are 8 security hotspots that need review.

License

speaker-diarization does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

speaker-diarization releases are not available. You will need to build from source code and install.

speaker-diarization 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.

speaker-diarization saves you 1762 person hours of effort in developing the same functionality from scratch.

It has 3898 lines of code, 108 functions and 25 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed speaker-diarization and discovered the below as its top functions. This is intended to give you an instant insight into speaker-diarization implemented functionality, and help decide if they suit your requirements.

Main command line interface .
Calculate the distance between features in the given region .
Benchmark two audio files .
Run spk clustering .
Parse an exp file .
Calculate distance between features .
Update the mark .
Print the results of the benchmark .
Classify lnas .
Write an ELAN XML file .

Get all kandi verified functions for this library.

speaker-diarization Key Features

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

speaker-diarization Examples and Code Snippets

No Code Snippets are available at this moment for speaker-diarization.

Community Discussions

Trending Discussions on speaker-diarization

Speaker Diarization support in Google Speech API

QUESTION

Speaker Diarization support in Google Speech API

Asked 2018-Aug-09 at 09:18

Is Google Cloud Speech API support speaker Diarization? as like Watson ? If so what the steps to get the transcript with speaker labled?

More Info: https://www.ibm.com/blogs/watson/2016/12/look-whos-talking-ibm-debuts-watson-speech-text-speaker-diarization-beta/

...

ANSWER

Answered 2018-May-11 at 21:44

Per the group discussion at Recording, Splitting Audio for Transcribing Two People Conversation using Google Speech API, it looks that you'll have to use the speaker diarization libraries for your use case.

Source https://stackoverflow.com/questions/50023951

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

Vulnerabilities

No vulnerabilities reported

Install speaker-diarization

A pre-built [docker](https://hub.docker.com/r/blabbertabber/aalto-speech-diarizer/~/dockerfile/) container can be used to run the the scripts.
Most of these scripts depend on the aku tools that are part of the AaltoASR package that you can find [here](https://github.com/aalto-speech/AaltoASR). You should compile that for your platform first, following [these](https://github.com/aalto-speech/AaltoASR/blob/develop/INSTALLATION.md) instructions.
Add a symlink to the folder AaltoASR/
Add a symlink to the folder AaltoASR/build
Add a symlink to AaltoASR/build/aku/feacat
Make sure the ffmpeg executable is on path or add a symlink to it too.

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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