Search Results for "speech analysis"
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Showing 9 open source projects for "speech analysis"
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Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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Winboard 4.5 Accessible Chess
Chess for the Blind for the JAWS or NVDA Screen Readers
Winboard 4.5 32-bit is a free Windows accessible Chess program that works automatically with the JAWS or the free NVDA screen reader. It is for the blind, low sighted or those who can not use a mouse. It provides vocal announcements of position changes and other selectable board conditions. Blind players also use a separate "tactile chess board". Winboard 4.5 has full keyboard access to move pieces and run menu items. Partial sighted players use high contrast mode and adjust board, piece,... -
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MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
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Accelerated Feature Extraction Tool
A fast GPU accelerated feature extraction software for speech analysis
A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. -
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SetFon focus is an interface web based for Praat resources (www.praat.org) wich focus speech sound annalysis; it is a gerent program for acoustic analysis PHP/Mysql based. Developed with the framework SIMP.
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A unique natural-language processing software, called Discovery, created on the CA Visual Objects/Vulcan.NET environment, which also has potential for effective "shallow approach" machine translation.
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TSSBank is written in c#(.Net 2.0).The main aimed group is the disabled persons.This component outputs voice & textual outputs (with value/words)plus experimental Voice Recognition (VR) system that identifies more then 80% accurately with out training.
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SimpleSpeech is a research about developing automatic speech recognition (ASR) system that using Hidden Markov Models (HMM) method as the core engine. This research is purposed for students or ASR beginners that being interested in ASR.
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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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