Search Results for "android application development"

Speech recognition technology is used more and more for telephone applications like travel booking and information, financial account information, customer service call routing, and directory assistance. Using constrained grammar recognition, such applications can achieve remarkably high accuracy. Research and development in speech recognition technology has continued to grow as the cost for implementing such voice-activated systems has dropped and the usefulness and efficacy of these systems has improved. For example, recognition systems optimized for telephone applications can often supply information about the confidence of a particular recognition, and if the confidence is low, it can trigger the application to prompt callers to confirm or repeat their request. ...

Implementation of duration high-order hidden Markov model (DHO-HMM) in Matlab with application in speech recognition.

Java library and tools to create open source speech recognition applications. Generates dialogs for conversational interfaces. Works with a popular open source speech recognition library.

...The AudioLock voice password application is designed to run on locally on an android device and to allow users to setup an account with a master and audio password, edit a preexisting account, utilize voice and master password to lock and unlock chosen device.

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.

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.

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.