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Implementation of Competitive Learning Networks for WEKA

Foreword In a previous article, we shown that by using WEKA a researcher can easily implement her own algorithms without other technical concernings like binding an algorithm with a GUI or even loading...

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Implementation of Elman Recurrent Neural Network in WEKA

Foreword In this article, we will discuss the implementation of the Elman Network or Simple Recurrent Network (SRN) [1],[2] in WEKA. The implementation of Elman NN in WEKA is actually an extension to...

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Letter to Phoneme Conversion in CMU Sphinx-4: Literature review

1. Foreword Currently Sphinx-4 uses a predefined dictionary for mapping words to sequence of phonemes. I propose modifications in the Sphinx-4 code that will enable it to use trained models (through...

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Phonetisaurus: A WFST-driven Phoneticizer – Framework Review

Foreword This article tries to analyze the phonetisaurus g2p [1], [2] code by describing it’s main parts and algorithms behind these. Phonetisaurus is a modular system and includes support for several...

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Porting phonetisaurus many-to-many alignment python script to C++

Notice: This article is outdated. The application described here is now part of the SphinxTrain application. Please refer to recent articles in CMUSphinx category for the latest info. (originally...

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Using OpenGrm NGram Library for the encoding of joint multigram language...

(originally posted at http://cmusphinx.sourceforge.net/2012/06/using-opengrm-ngram-library-for-the-encoding-of-joint-multigram-language-models-as-wfst/) Foreword This article will review the OpenGrm...

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Automating the creation of joint multigram language models as WFST

Notice: This article is outdated. The application described here is now part of the SphinxTrain application. Please refer to recent articles in CMUSphinx category for the latest info. (originally...

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Compatibility issues using binary fst models generated by OpenGrm NGram...

(originally posted at http://cmusphinx.sourceforge.net/2012/06/compatibility-issues-using-binary-fst-models-generated-by-opengrm-ngram-library-with-phonetisaurus-decoder/) Foreword Previous articles...

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Automating the creation of joint multigram language models as WFST: Part 2

(originally posted at http://cmusphinx.sourceforge.net/2012/06/automating-the-creation-of-joint-multigram-language-models-as-wfst-part-2/) Foreword This a article presents an updated version of the...

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Using the grapheme-to-phoneme feature in CMU Sphinx-4

Foreword This article summarizes and updates the previous articles [1] related to the new grapheme-to-phoneme (g2p) feature in CMU Sphinx-4 speech recognizer [2]. In order to support automatic g2p...

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