Open Source ChromeOS Speech Recognition Software

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets.

Google2SRT allows you to download, save and convert multiple subtitles and translations from YouTube and Google Video to SubRip (.srt) format, which is recognized by most video players. You can download XML subtitles or simply type video's URL, Google2SRT will do the rest.

Speech recognition research toolkit

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.

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.

The MRCPv2 protocol is designed to allow client devices to control media processing resources, such as speech recognition engines. MRCP4J provides a Java API that encapsulates the MRCPv2 protocol and can be used to implement MRCP clients and/or servers.

CJ7 is an open-source speech recognition engine.

Inspired by interfaces from sci-fi movies like Iron Man, Gesture Analytical Sonic Interface (GASI) is a proof of concept of a Webcam gesture (Kinect like) and Voice recognition based computer interface, constraining itself to only components included in average laptops (A simple webcam and microphone, no Kinect)

HMM Speech Recognition in Java

This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow.

ILA stands for (kind of) intelligent, learning assistant and is a speech recognition system aka voice assistant very similar to Siri, Google Now and Cortana. ILA is fully customizable and you can teach her/him/it new things by yourself like executing system commands, opening web pages, programs and apps or just some basic conversation :-) ILA runs on Java und thus is compatible to Windows, Mac and Linux. It is designed to integrate with your home enviroment and for example build up your own, free and open Amazon Echo replacement ;-) Right now the key components of ILA are the open source speech recognition CMU Sphinx-4, Google (Speech Recognition/Text-To-Speech) and MaryTTS (Text-To-Speech). The goal is to make ILA completely free of Google by improving all aspects of the open source systems. Since version 3.3 users can also write own add-ons to extend ILA. ILA's successor is the SEPIA Framework: https://sepia-framework.github.io/ Hope you enjoy ILA - Florian

InproTK is an Incremental Spoken Dialogue Processing Toolkit, that is, a toolkit to help you build dialogue systems that listen and talk incrementally, allowing for advanced interactional behaviour. Please see our Wiki for more information: http://sourceforge.net/p/inprotk/wiki/

This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.

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

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

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.

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

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.

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

use to collect speech corpus speech recognition task like sphinx .