Search Results for "hmm c++"
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Showing 8 open source projects for "hmm c++"
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hts_engine is software to synthesize speech waveform from HMMs trained by the HMM-based speech synthesis system (HTS). This software is released under the Modified BSD license.
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Sinsy
HMM-based singing voice synthesis system
Sinsy is an HMM-based singing voice synthesis system. This software is released under the Modified BSD license. -
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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CvHMM
Discrete Hidden Markov Models based on OpenCV
This project (CvHMM) is an implementation of discrete Hidden Markov Models (HMM) based on OpenCV. It is simple to understand and simple to use. The Zip file contains one header for the implementation and one main.cpp file for a demonstration of how it works. Hope it becomes useful for your projects. -
Vivantio IT Service ManagementThe Vivantio Platform allows you to focus on the IT service management tools that make sense for your organization’s unique service model: from incident, problem and change requests, to service requests, client knowledge and asset management
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A Program-Trading system for FOREX using the CMS-Forex API. This application is intended for ** DEVELOPERS ** who wish automatically trade currencies by treating TICK data as a real-time "natural" signal using advanced signal analysis techniques.
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MeCab is a fast and customizable Japanese morphological analyzer. MeCab is designed for generic purpose and applied to variety of NLP tasks, such as Kana-Kanji conversion. MeCab provides parameter estimation functionalities based on CRFs and HMM
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Hidden Markov Models (HMM) are a Pattern Recognition Metaheuristic. JHMMSim lets you to train and test a HMM with a friendly Java/Swing GUI. Also, JHMMSim lets you to generate a C++ code with a trained HMM, so you can use it in your own applications.
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This is a project to create a compiler that converts grammars written in SRGS standard (http://www.w3.org/TR/speech-grammar/) to a graph understandable by HMM based ASR engines. Check srgs-parser.sf.net
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