Search Results for "speech recognition matlab" - Page 8
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Showing 266 open source projects for "speech recognition matlab"
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Speaker recognition with Matlab
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Speak Up
Text to Speech software
'Speak Up' is a TEXT TO SPEECH software.That's not all it has speech recognition and much more.Try it for yourself and send us a feedback on our guestbook. 'Speak Up' 2,0 is packed with new features and upgrades.Check it out for yourself. -
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Project aim to provide simple easy APIs for Java developers to use interactive abilities in their Java Applications like speech recognition, handwriting recognition, use of web cam , sound record/play, decision trees , text to speech and many others.
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These will be java based open source voice control player . These player can be controled by the uer voice .It can help thoushand of blind and physicaaly challanged person to enjoy the benifits of the music . And help in its development .
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Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi
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1.) Investigation with cosine transform, and anti transform algorithm, with some voice recognition code. 2.) Translator: Croatian, English. 3.) 2D to 3D picture algorithm (principle) and new 2Dto3D video conversion code with AviSynth video scripting
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Arabisc is speaker independent large vocabulary continuous speech recognizer for Arabic language released under GNU license.It is also a collection of open source tools that allows researchers and developers to build speech recognition systems for Arab
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Simple interactive Java browser is basic simple browser show how we can use voice commands to navigate in web sites and use hyperlinks as a voice commands.
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Pronounce is an app for Android which uses speech recognition to let you dictate speeches. It then uses a checking algorithm to see how well you did and update your score. You play as several politicians and activists over various eras.
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Modular Text-to-Speech system with a Matlab backbone. Your modules can be attached to this backbone via executable files (independent of the programming language used) respecting the XML interface requirements.
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This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
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Keyword spotting through speech recognition, linked to media display/playback (visual: photos, video?)
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It's a student project for SUPINFO .Net labs. It consist to develop a speech-recognition engine for a few words with a database of .vocal stamps.
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A basic calculator designed for the visually impaired that recites the operations being performed as it does them. Future development to include voice recognition of calculator functions and more advanced engineering calculations. Pre-Alpha phase.
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This project, npp (net plus plus, net++), is developed on top of open source package QuickNet for Neural Network training in speech recognition.
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A scientific project about synthetic speech and orator recognition by analysing some singular speech characteristics of orator.
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Scalable Language API (SLAPI) The most comprehensive architecture for conversational natural-language applications including speech recognition/synthesis, semantics, & machine translation. Used on Android & other mobile app platforms.
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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.
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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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The purpose of this program is to teach a computer to classify plants via their leaves. You just need to input the image of a leaf(acquired from scanner or camera), then the computer can tell you what kind of plant it is.