Search Results for "json-c"

whisper.cpp is a lightweight, C/C++ reimplementation of OpenAI’s Whisper automatic speech recognition (ASR) model—designed for efficient, standalone transcription without external dependencies. The entire high-level implementation of the model is contained in whisper.h and whisper.cpp. The rest of the code is part of the ggml machine learning library. The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. ...

Kaldi is an open source toolkit for speech recognition research. It provides a powerful framework for building state-of-the-art automatic speech recognition (ASR) systems, with support for deep neural networks, Gaussian mixture models, hidden Markov models, and other advanced techniques. The toolkit is widely used in both academia and industry due to its flexibility, extensibility, and strong community support. Kaldi is designed for researchers who need a highly customizable environment to...

Software for speech recognition in English & Polish languages. Basic versions of SkryBot: 1. SkryBot Home Speech (English Language) - https://sourceforge.net/projects/skrybotdomowy/files/ReleasesEnglish/InstalatorSkryBotHomeSpeechDemo-2.6.9.18117.exe/download 2. SkryBot DoMowy (Polish Language) - https://sourceforge.net/projects/skrybotdomowy/files/ReleasesPolish/InstalatorSkryBotDoMowyDemo-2.4.9.18117.exe/download More...

Speech recognition system for Ubuntu which takes Palaver as codebase and integrates Pocketsphinx instead of Google speech-api. Codebase is the minimal version of Palaver.

The AK toolkit is another kit for building and use Hidden Markov Models (HMMs). Originally developed for handwritten text recognition (HTR) using Bernoulli HMMs, it also implements diagonal Gaussians and can be used for any other purpose.

This software records and replays user interaction with the computer. It can be interfaced through voice commands.

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.

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

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

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.

Augmenting other natural interfaces namely handwriting, speech recognition to input Indian language characters to the computer. Speech synthesis is also provided to read out local language text.

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.

A universal speech recognition model converter (USMC).

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

OC Volume is a speech recognition engine written in Java for integration with other applications. It is currently an User-Dependent Isolated Word Recognizer and can be expanded to include more capability for recognition.

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

Developpement of speech recognition software and libraries for the linux system. Should allow evryone to integrate speech recognition in his software very easily.

Idi is a voice recognition program intended to help people with physical disabilities to use a keyboard by dictating. It can also be used as a way to remote control your computer or as a nice way to type in your bath.