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What is SPRAAK ? — The SPRAAK Speech Recognizer

Only in current section. Documentation and release notes. Documentation and release notes. SPRAAK (Speech Processing, Recognition and Automatic Annotation Kit; "spraak" is also the Dutch word for "speech") is an open source speech recognition package. It is an efficient and flexible tool that combines many of the recent advancements in automatic speech recognition with a very efficient decoder in a proven HMM architecture. CURRENT VERSION and HISTORY. Release notes can be found here.

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What is SPRAAK ? — The SPRAAK Speech Recognizer | spraak.org Reviews
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Only in current section. Documentation and release notes. Documentation and release notes. SPRAAK (Speech Processing, Recognition and Automatic Annotation Kit; spraak is also the Dutch word for speech) is an open source speech recognition package. It is an efficient and flexible tool that combines many of the recent advancements in automatic speech recognition with a very efficient decoder in a proven HMM architecture. CURRENT VERSION and HISTORY. Release notes can be found here.
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What is SPRAAK ? — The SPRAAK Speech Recognizer | spraak.org Reviews

https://spraak.org

Only in current section. Documentation and release notes. Documentation and release notes. SPRAAK (Speech Processing, Recognition and Automatic Annotation Kit; "spraak" is also the Dutch word for "speech") is an open source speech recognition package. It is an efficient and flexible tool that combines many of the recent advancements in automatic speech recognition with a very efficient decoder in a proven HMM architecture. CURRENT VERSION and HISTORY. Release notes can be found here.

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The SPRAAK Speech Recognizer

http://www.spraak.org/sitemap

Only in current section. Documentation and release notes. An overview of the available content on this site. Keep the pointer still over an item for a few seconds to get its description. Documentation and release notes. CMS — Open Source Content Management System. 2000-2016 by the Plone Foundation. And the Plone logo are registered trademarks of the Plone Foundation. Distributed under the GNU GPL license.

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Obtaining SPRAAK — The SPRAAK Speech Recognizer

http://www.spraak.org/obtaining-spraak

Only in current section. Documentation and release notes. Documentation and release notes. In order to download, install and use SPRAAK you first need to obtain a valid license. Which is free for most users. For commercial usage there is a moderate fee. After obtaining a license, you will be given instructions on how to download the software. Before starting the installation, make sure that you have all required software. SPRAAK uses 'scons' (a Python build-tool) the compile and install the software.

3

SPRAAK documentation — The SPRAAK Speech Recognizer

http://www.spraak.org/documentation

Only in current section. Documentation and release notes. Documentation and release notes. Documentation and release notes. When SPRAAK is installed on your local machine, part of the installation process consists of extracting the documentation from the source files. After this process has finished, the reference manual can be found in the doc/html directory. Open the index.html file in this directory with your favorite browser to consult the manual of your installed version. For version 1.1 see here.

4

Development — The SPRAAK Speech Recognizer

http://www.spraak.org/development

Only in current section. Documentation and release notes. Documentation and release notes. Report any bugs to the development team. How to get involved with the development of SPRAAK? CMS — Open Source Content Management System. 2000-2016 by the Plone Foundation. And the Plone logo are registered trademarks of the Plone Foundation. Distributed under the GNU GPL license.

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Mailing lists — The SPRAAK Speech Recognizer

http://www.spraak.org/mailing-lists

Only in current section. Documentation and release notes. Documentation and release notes. The following mailing lists have been created for discussions related to the use and development of SPRAAK. You can subscribe to a list by sending a mail with the message "subscribe listname firstname lastname" (without the quotes) to the listserv address. Replacing listname with one of the list names mentioned below, and filling in your first and last name. Join or leave the list (or change settings).

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Open-Source Speech Recognition Toolkits | absolute regularity

https://llaisdy.wordpress.com/2014/08/26/open-source-speech-recognition-toolkits

Open-Source Speech Recognition Toolkits. Tuesday, 26th August, 2014. Here’s a list of FOSS and FOSS-ish ASR toolkits: url, license and rough activity dates, and maybe the odd comment. Apart from Sphinx4, which is written in The Java Programming Language, all of these are written in C/C . Kaldi looks the most interesting and mature. I’d also like to have more of a look at Bavieca, GMTK and TLK. Have I missed any? Open Software License v. 3.0. Http:/ htk.eng.cam.ac.uk/docs/license.shtml. Filed in Speech Rec.

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Oger toolbox |

http://www.reservoir-computing.org/organic/engine

Skip to Main Content. The OrGanic Environment for Reservoir computing (Oger) toolbox is a Python toolbox, released under the LGPL. For rapidly building, training and evaluating modular learning architectures on large datasets. It builds functionality on top of the Modular toolkit for Data Processing (MDP). Using MDP, Oger provides:. Easily building, training and using modular structures of learning algorithms. The Oger toolbox builds functionality on top of MDP, such as:. Processing of temporal datasets.

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absolute regularity | The dairy diary | Page 2

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Solving “Greater Than” Sudoku with Answer Set Programming. Thursday, 8th January, 2015. Sergii Dymchenko recently posted a blog. Showing how a “greater than” sudoku can be solved with constraint logic programming and ECLiPSe CLP. Sergii’s post inspired me to do the same for answer setprogramming, with clasp/gringo. I’ve uploaded the code to github. Brief notes on ASP (& Sudoku). I am just getting started with answer set prolog. Here are some first impressions:. Paint(R, C1, N), paint(R, C2, N), C1! The n...

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Oger toolbox |

http://organic.elis.ugent.be/organic/engine

Skip to Main Content. The OrGanic Environment for Reservoir computing (Oger) toolbox is a Python toolbox, released under the LGPL. For rapidly building, training and evaluating modular learning architectures on large datasets. It builds functionality on top of the Modular toolkit for Data Processing (MDP). Using MDP, Oger provides:. Easily building, training and using modular structures of learning algorithms. The Oger toolbox builds functionality on top of MDP, such as:. Processing of temporal datasets.

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I Wish I Would Have Know to Speak to a Credit Counselor Many Months Ago. July 29, 2015. Comments Off on I Wish I Would Have Know to Speak to a Credit Counselor Many Months Ago. Online and began reading about what I could do to get myself through my predicament more easily. After all, if I did not do something soon, the situation would grow worse and I would owe even more money than I already did. The correct life insurance plan to suit your needs and your family. May 17, 2014. To make factors simpler ins...

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What is SPRAAK ? — The SPRAAK Speech Recognizer

Only in current section. Documentation and release notes. Documentation and release notes. SPRAAK (Speech Processing, Recognition and Automatic Annotation Kit; "spraak" is also the Dutch word for "speech") is an open source speech recognition package. It is an efficient and flexible tool that combines many of the recent advancements in automatic speech recognition with a very efficient decoder in a proven HMM architecture. CURRENT VERSION and HISTORY. Release notes can be found here.

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Speech Analytics has been available for quite a while now. Many organizations nowadays communicate with their customers over multiple channels. In order to be able to gain full insight into the valuable information that is locked in your call recordings and all other interactions, Speech Analytics has evolved into Interaction Analytics. Analyse customer interactions over all channels.

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