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Voice interactive classroom explores the use of audio technologies for browsing Web-based learning management systems. It includes a set of OKI-compliant voice modules which can be assembled for use upon different LMSs, including Moodle and Sakai.
Collaborative development and distribution of Windows Speech Recognition (WSR) application macros to 1) improve the accessibility of personal computing for impaired users, and 2) improve the efficiency of personal computing for all users.
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This project'll be the core engine of many voice based platforms,which can be implemented into your projects,websites...etc to provide an Arabic speech service, where your servers can interact with the clients through Arabic Speech Recognition.
Use our tools to hand edit phonetic word dictionaries for speech recognition engines. The new G2P4J format supporting SAMPA and Kirshenbaum IPA is portable to Sphinx, Julius and others. Demo medical, legal and technical dictionaries are featured.
A voice recognition application which detect Quran (Islamic Holy book) pronunciation and result in a detection success percentage for each word of the Quran statements, when complete it can be considered a base for Arabic language recognition.
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Augmenting other natural interfaces namely handwriting, speech recognition to input Indian language characters to the computer. Speech synthesis is also provided to read out local language text.
Orcus smartHome is a voice/sensor/web-interactive home automation, streaming media, security monitoring system with voice recognition, speech synthesis, scheduling via Google calendar, and web interface.
The JSGF Editor supports development of grammars for speech recognition with the Java Speech Grammar Format. It is provided as a plugin for Eclipse 3.* (tested on 3.1 and 3.2)
VoxForge collects user-submitted speech audio files for the creation of Acoustic Models for Free and Open Source Speech Recognition Engines such as HTK, Julius, ISIP and Sphinx.
The MRCPv2 protocol is designed to allow client devices to control media processing resources, such as speech recognition engines. MRCP4J provides a Java API that encapsulates the MRCPv2 protocol and can be used to implement MRCP clients and/or servers.
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.
Voice Conference Manager uses VoiceXML and CCXML to control speech recognition, text to speech, and voice biometrics for a telephone conference service. Say the names or numbers of people and VCM places them into the call. Can be hosted on public servers
Italian labeled digits corpus, good for speech recognition.
Corpus di cifre italiane segmentato, adatto a esperimenti di riconoscimento vocale e riconoscimento fonetico.
Perlbox Voice is an voice enabled application to bring your desktop under your command. With a single word, you can start your web browser, your favorite editor or whatever you want. This is the Linux and Unix voice recognition solution.
Voice XML Enabling Software (VXES) is an application that connects a VoiceXML Interpreter, a telephony platform, and MRCP servers that provide services for Automatic Speech Recognition and Text to Speech Synthesis. C++, Windows & Linux OS supported
Voxapl is a suite of voice-enabled applications supporting voice recognition and text to speech functions for home automation services. It is written in Java and communicates via xAP and/or xPL messaging.
OC Volume is a speech recognition engine written in Java for integration with other applications. It is currently an User-Dependent Isolated Word Recognizer and can be expanded to include more capability for recognition.
The Open Mind Speech project is part of the Open Mind Initiative and aims to develop free(GPL) speech recognition and signal processing (DSP) tools and applications, as well as collect speech data from "e-citizens" using the Internet.
Ruby SCREAMS, so lets give it a voice! The first step is to port the Snack Tcl/Tk API to Ruby. Then we can talk about games, speech recognition, AI, and a meaningful relationship with your computer!