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Voice Recognizer XBlock

This XBlock allows students to recognize their voice and can see the what they spoke.

It supports multiple languages. This version works only on Google Chrome.

Supported languages

Afrikaans
Bahasa Indonesia
Bahasa Melayu
Català
Čeština
Dansk
Deutsch
Australia
Canada
English - India
English - New Zealand
English - South Africa
English - United Kingdom
English - United States
Bolivia
Argentina
Chile
Colombia
Costa
Ecuador
España
Estados
Guatemala
Honduras
México
Nicaragua
Panamá
Paraguay
Perú
Puerto
República
Uruguay
Venezuela
Euskara
Filipino
Français
Galego
हिन्दी
Hrvatski
IsiZulu
Íslenska
Italiano
Italia
Svizzera
Lietuvių
Magyar
Nederlands
Norsk
Polski
Português
Brasil
Portugal
Română
Slovenščina
Slovenčina
Suomi
Svenska
Tiếng
ภาษาไทย
Türkçe
Ελληνικά
български
Pусский
Српски
Українська
한국어
普通话 
普通话 
中文 
粵語 

Features

  1. Supports Multiple Languages
  2. Assesment and grading support

Installation instructions

In order to install the XBlock into your Open edX devstack Server you need to:

  1. Download the XBlock from github. Place the files inside your server.

  2. Install your block: You must replace /path/to/your/block with the path where you have downloaded the XBlock

    $ vagrant ssh vagrant@precise64:~$ sudo -u edxapp /edx/bin/pip.edxapp install /path/to/your/block

  3. Enable the block:

    #. In edx-platform/lms/envs/common.py, uncomment::

       # from xmodule.x_module import prefer_xmodules
       # XBLOCK_SELECT_FUNCTION = prefer_xmodules
    

    #. In edx-platform/cms/envs/common.py, uncomment::

       # from xmodule.x_module import prefer_xmodules
       # XBLOCK_SELECT_FUNCTION = prefer_xmodules
    

    #. In edx-platform/cms/envs/common.py, change::

       'ALLOW_ALL_ADVANCED_COMPONENTS': False,
    
       to::
    
       'ALLOW_ALL_ADVANCED_COMPONENTS': True
    
  4. Add the block to your courses' advanced settings in Studio:

    #. Log in to Studio, and open your course #. Settings -> Advanced Settings #. Change the value for the key "advanced_modules" to voicerecognizer

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Voice Recognizer Xblock - Convert your voice to text

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  • CSS 38.9%
  • HTML 28.3%
  • Python 16.6%
  • JavaScript 16.2%