Search Results for "text processing"
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Showing 14 open source projects for "text processing"
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AhoTTS - TTS for Basque and Spanish
Text-to-Speech for Basque and Spanish
Text-to-Speech conversor for Basque and Spanish. It includes linguistic processing and built voices for the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high quality vocoder called AhoCoder. Developed by Aholab Signal Processing Laboratory: https://aholab.ehu.es/aholab/ http://aholab.ehu.es/ahocoder/ -
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DWDS/Dialing Concordance
a collection of indexing and search tools for corpus linguists
DWDS/Dialing Concordance (DDC) - a collection of index and search tools for corpus linguists -
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AhoTTS Multilingual, a Multilingual TTS
Text-to-Speech TTS for Basque, Spanish, Catalan, Galician and English
Text-to-Speech conversor for Basque, Spanish, Catalan, Galician and English. It includes linguistic processing and built voices for all the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high quality vocoder called AhoCoder. Developed by Aholab Signal Processing Laboratory: https://aholab.ehu.es/aholab/ http://aholab.ehu.es/ahocoder/ -
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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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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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An ethernet sniffer for BrainNet36®
An ethernet sniffer for the EEG acquisition system BrainNet36®
...BrainNet36® has 36 channels, A/D converters with 16 bit accuracy, conversion time of 10 µs and Ethernet communication interface. Being a device for clinical purposes, BrainNet36® does not export data online. This sniffer was developed to allow online processing by working in promiscuous mode and recording data in a plain text file. -
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OmniHelp is a cross-platform, browser-independent, tri-pane help viewer built in pure JavaScript and CSS with HTML 4. Some functions (such as help embedding) may in the future be in Java, C, or C++; CSH is fully supported. All code is under the LGPL.
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A C (and JavaScript) library providing predictive text functions. The API is very simple and provides dictionary autocomplete and partial/full matching. Sample cellphone-like examples are included.
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This project is a highly configurable Virtual Unicode Keyboard written in Java. You might want to use it to type some words in a foreign character set with your mouse.
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"Java Artificial Intelligence Markup Language PAD" is a tool that manages ProgramD AI (on local or remote machines) and AIML files with real-time previews and it provides a network support to test AI capabilities over many network protocols.
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Auvai is a Java API and Java Swing based application for Text to Speech conversion of Unicode Tamil. Future direction of this API and application is to support Text to Speech conversion for all "Indic" languages.
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ASCIIMathML.js: a JavaScript to convert ASCII math notation (and some LaTeX) to Presentation MathML while your webpage loads. Now also simple graphs are translates to SVG. Works with Firefox 2.0+ or with Internet Explorer 6/7+MathPlayer+Adobe SVGview.
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Bi-gram applications based on language models produced by SRILM from Chinese Wikipedia corpus, include Chinese word segmenter, word-based (not character-based) Traditional-Simplified Chinese converter and Chinese syllable-to-word converter.
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pySPACE
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g.
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