Search Results for "java markup language"

ASRT is an end-to-end deep-learning Chinese ASR system built with TensorFlow/Keras, using convolution + CTC and a Max-Entropy HMM language model. It provides a REST/gRPC server backend and client SDKs in multiple languages (Python, Java, Go, Windows). Notably lightweight, it performs well without needing GPU acceleration and runs across platforms, targeting developers and researchers building Chinese voice interfaces.

Pandora is an artificial intelligent web based bot written in Java. Pandora is a component based AI architecture including, database memory, XML, voice, voice rec, chat, IRC, HTTP, Wiktionary, Freebase, consciousness, language, GUI, applet, web, jsp, Android

World Voice Recognition est un programme OpenSource de reconnaissance vocal dont le but est de faire la liaison entre plusieurs modules crée par n'importe quelle developpeur ( Module du microphone, module de reconnaissance vocal, module pour faire parler l'ordinateur, ou des plugins : par exemple la météo ). La SDK est compatible avec n'importe quelle language de programmation (ASM,C++,Ada,Java...) sur toutes les platformes (Windows, Mac et Linux). Tous les developpeurs peuvent programme un module et le publier sur le site en s'inscrivant gratuitement. Les utilisateurs peuvent telecharger gratuitement ces modules sur le store.

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.

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.

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

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.

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.