Open Source Speech Recognition Software - Page 6

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.

A .Net / plugin based Voice Recognition / command system for Microsoft Windows

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.

TalkMaths is a speech user interface that extends the speech recognition program Dragon NaturallySpeaking by parsing spoken mathematical expressions into MathML and/or LaTeX. TalkMaths allows the user to create documents in MathML or LaTeX hands-free.

Tcl/SMAPI is a Tcl extension library that makes possible the use of the IBM Speech Manager Applications Programming Interface (SMAPI) in Tcl scripts. SMAPI is the connection between the user interface and the speech recognition engine for the IBM ViaVoice

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.

The adam server is a voice activated framework in which to control your desktop and perform general systems administration. It utilizes the Sphinx-4 speech recognition engine and the FreeTTS speech synthesis engine.

A fully featured advanced text editor

This software is to help type in text from speech recordings. It has several functions proven to help this type of work. However it is fully manual (aside from auto-completion), so no speech recognition if you are looking for that, but it is a great tool to do the job.

Project VALMIKI is a speech recognition engine done from scratch. The engine will mostly be language independent, though, the developers will primarily focus on Nepali language as their chief target.

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 .

Tools for use with IBM's ViaVoice speech recognition product

It is an Open-Source project that acquire the word spoken and open the its page in Wikipedia. It include a VoR Engine ~ Voice Recognition Engine make by CMU Sphinx tools.

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 Essence is an open source implementation of a voice xml gateway using components such as : 1.OpenH323 2.OpenVXI 3.CMU Sphinx 2 4.CMU Festival The Voice XML supports VoIP communications and Voice Recognition support.

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.

Projeto de desenvolvimento da ferramenta Voice Recognition proposto pelo professor da disciplina de Engenharia de Software II do curso de Ciência da Computação (UFPI).

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

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

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.

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.

Written in VB 6 for Win98 and up. Our goal is to provide speech recognition and text to speech unlike any software currently in the market. Some features include TTS, Dictation using Microsoft SAPI 5.1 engines. Visit our Home Page for more info.

A personal assistant utilizing MS SAPI 5.4 and Program# AIMLbot (AIML Set 1.0) https://sourceforge.net/projects/aimlbot/ The goal for this project is a full personal assistant that understands speech and can respond naturally. To set this apart from other personal assistants, this PA has a "personality" via AIML. Rather than responding to canned commands, it will process the sentence spoken to it, and decide if it is actionable or a conversation. 1st stage is to finalize the speech recognition and bot personality. 2nd stage to incorporate a knowledge base using NELL , Wolfram Alpha, and Google API. This will allow the bot to answer any question. 3rd stage is the personal assistant. Calendar , email , finance, organization management. Media control, device & file management. The project will be kept modular. AIMLbot source: https://sourceforge.net/projects/aimlbot/