Open Source Mac Speech Recognition Software - Page 3

Keyword spotting through speech recognition, linked to media display/playback (visual: photos, video?)

ROSA is an open source agent implementation. It will contain a speech engine, a speech recognition engine and many more...

Hello everyone! I am presenting a software named S.T.A.N, a voice recognition software which recognizes your voice and performs actions like from opening to facebook to renaming, copying a file, creating a folder and many more! This software has over 50+ commands to perform by just listening to your voice! so just download it and check it out. Your comments and feedback is valuable to us. And if you like, please like our facebook page and mail us!

Tool for helping in the diagnosis of the dislexy, based on the speech recognition done with the usage of HTK

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.

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.

This project is being developed to be a Java based speech recognition (SR) program. In addition to the SR program itself, it includes a program which allows a user to view the sound being received by the computer. The user can manipulate this data.

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!

Dictation / Speech Recognition software that runs on any platform supported by Google Chrome.

Speechalyzer: a tool for the daily work of a 'speech worker' It is optimized to process large speech data sets with respect to transcription, labeling and annotation. It is implemented as a client server based framework in Java and interfaces software for speech recognition, synthesis, speech classification and quality evaluation. The application is mainly the processing of training data for speech recognition and classification models and performing benchmarking tests on speech-to-text, text-to-speech and speech classification software systems.

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.

Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and compare the results. Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now deprecated, we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax.

Tensorpack is a neural network training interface based on TensorFlow v1. Uses TensorFlow in the efficient way with no extra overhead. On common CNNs, it runs training 1.2~5x faster than the equivalent Keras code. Your training can probably gets faster if written with Tensorpack. Scalable data-parallel multi-GPU / distributed training strategy is off-the-shelf to use. Squeeze the best data loading performance of Python with tensorpack.dataflow. Symbolic programming (e.g. tf.data) does not offer the data processing flexibility needed in research. Tensorpack squeezes the most performance out of pure Python with various auto parallelization strategies. There are too many symbolic function wrappers already. Tensorpack includes only a few common layers. You can use any TF symbolic functions inside Tensorpack.

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 .

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

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.

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.

annyang is a tiny javascript library that lets your visitors control your site with voice commands. annyang supports multiple languages, has no dependencies, weighs just 2kb and is free to use. annyang understands commands with named variables, splats, and optional words. Use named variables for one word arguments in your command. Use splats to capture multi-word text at the end of your command (greedy). Use optional words or phrases to define a part of the command as optional. annyang plays nicely with all browsers, progressively enhancing browsers that support SpeechRecognition, while leaving users with older browsers unaffected. Grab the latest version of annyang.min.js, drop it in your html, and start adding commands. You can easily add a GUI for the user to interact with Speech Recognition using Speech KITT. Speech KITT is fully customizable and comes with many different themes, and instructions on how to create your own designs.

An application that utilizes voice recognition to provide verbal authentication. This application is intended to unlock the screen of desiring using a spoken password phrase. It is a simple base program that is very flexible in terms of expansion, with further potential implementation as a means to password protect files, authenticate other applications, or act as a password manager. 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.

Italian labeled digits corpus, good for speech recognition. Corpus di cifre italiane segmentato, adatto a esperimenti di riconoscimento vocale e riconoscimento fonetico.

Husky is an automatic speech recognizer written by Haskell. The goal of husky is to provide a speech recognition system that is suitable for education and for prototyping new algorithms in research. For this purpose, pipeline based design of speech recognition systems have been developed, which enabled highly abstracted implementation of the systems while keeping the access to the details of the process.

Testing of speech recognition software

use to collect speech corpus speech recognition task like sphinx .

This voice recognition utility that uses Google Speech API and returns recognized text into standard output.