Search Results for "recognition"

BTK contains C++ and Python libraries that implement speech processing and microphone array techniques such as speech feature extraction, speech enhancement, speaker tracking, beamforming, dereverberation and echo cancellation algorithms. The Millennium ASR provides C++ and python libraries for automatic speech recognition. The Millennium ASR implements a weighted finite state transducer (WFST) decoder, training and adaptation methods. These toolkits are meant for facilitating research and development of automatic distant speech recognition.

...FUBI is written in C++ and includes a C#-Wrapper. Releases are tested on Windows 8.1, but there also exist Linux Code::Blocks project files. Fubi's main functionality is gesture and posture recognition according to four gesture categories: 1. Static postures: Configuration of several joints (positions or orientations). 2. Linear/Angular movements: Linear movement of joints with specific direction and speed or angular movement around an axis. 3. Combination of postures and movements: Combines sets of 1 and 2 in a sequence of states with specific time constraints. 4. ...

LeapInto provides a simplified interface to the Leap Motion hand sensor input device. Multiple hand recognition is simplified to several stable categories and coordinates are normalised. The interface comes two flavours at present, an open broadcast system using the OSC protocol and a plugin for the Csound audio/music programming language.

SMILE = Speech & Music Interpretation by Large Space Extraction openSMILE is a fast, real-time (audio) feature extraction utility for automatic speech, music and paralinguistic recognition research developed originally at TUM in the scope of the EU-project SEMAINE, now maintained and supported by audEERING.

Vedvarsha is an application for 2 purposes: 1. Handwariting script recognition that extracts recognized letters into documents. 2. OCR (Optical Character Recogniton) that works only for non-cursive and isolated characters. It depends upon libsyntactic,

AMELiA is a collection of libraries developed at the Arts, Media and Engineering Program at Arizona State University. It includes the AME Patterns library, a generic C++ library for modeling, recognition and synthesis of sequential patterns.

This project is the conclusion of three years of research and development of a final project of Bachelor of Engineering Faculty of Univertité Sherbrooke. It consists of a circuit to representing the hand movement with neural network for recognition.

OCR c++ library of computer optical recognition methods. In library: contour recognition; contour vectorisation; matrix letters feature recognition; web based GUI; assembler core on SS3 instruction; xml support; detect page rotation and segmentation;

Real-time Head Pose Estimation and Tracking, Eye Gaze Estimation and Gesture Recognition from USB or stereo camera

openEAR is the Munich Open-Source Emotion and Affect Recognition Toolkit developed at the Technische Universität München (TUM). It provides efficient (audio) feature extraction algorithms implemented in C++, classfiers, and pre-trained models on well-known emotion databases. It is now maintained and supported by audEERING. Updates will follow soon.

Active Shape/Appearance Model Library (ASMLibrary/AAMLibrary) source code, which includes ASMBuilding/AAMBuilding as well as ASMFitting/AAMFitting algorithm. It is developped under OpenCV 1.0 for locating features in a face and face recognition.

This project is to share my work in visual recognition of gestures. It shows how I have implemented person detection, color adaptation and tracking of the user's right-hand, gesture feature extraction, etc. using a single videocamera.

Linux Console program that make a virtual keyborad that can be used with an absolute coordonates pointing device. It means that you can use your touchscreen to emulate a keyboard. It also does copy paste and stroke recognition.

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.

A Neural network based, handwriting recognition software who's aim is to have a cursive OCR software. Although it is used in handwriting recognition, it can be used as well for creating Neural Networks and learning of those networks.

FaceTracker is a webcam-based system for the recognition of face movement around various angles as well as translation of the face. It is intended to be used under Linux OS. Currently, pan angles can be detected up to 45 degrees.

The Human Body Project allows computers to better understand and interact with people. Using a webcam the system can detect and recognise individuals (face recognition), identify their gaze direction, facial expressions and upper body postures.

EBBA is a project aiming to develop an advanced chatbot by combining AIML, 3d facial expressions, speech synthesizer, speech recognition and an iq-test solving functionality.

Rodney is an upper torso humanoid robot with stereo vision, speech recognition and a wide variety of body and head movements. This project is designed to be an open source repository for the software which comprises its control system.

PIGNIC (Programmable Interface for Gesture-based Natural Interaction Cake) is an effort to provide a flexible interface for gesture recognition by means of affordable hardware. It is aimed at user-friendliness and futuristic human computer interaction.