Search Results for "extraction"
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Showing 6 open source projects for "extraction"
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Myo Mapper
An open-source software to map Myo data into OSC and MIDI messages.
MyoMapper, an open-source software to rescale and centre and map Myo data into OSC and MIDI messages. -
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Accelerated Feature Extraction Tool
A fast GPU accelerated feature extraction software for speech analysis
A fast feature extraction software tool for speech analysis and processing. It incorporates standard MFCC, PLP, and TRAPS features. The tool is a specially designed to process very large audio data sets. It uses GPU acceleration if compatible GPU available (CUDA as weel as OpenCL, NVIDIA, AMD, and Intel GPUs are supported). CPU SSE intrinsic instruction set is used in cases where no compatible GPU present. -
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ezSIFT
An easy-to-use standalone SIFT library written in C/C++
*************************************************************************** Updated 06/28/2018 The ezSift project has moved to https://github.com/robertwgh/ezSIFT *************************************************************************** The SIFT (scale-invariant feature transform) algorithm is considered to be one of the most robust local feature detector and description methods. Most of the open-source SIFT implementations rely on some 3rd-party libraries. Some of them even rely... -
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xAffect
Sensor Middleware
xAffect is a software framework for online recording, processing and storage of multi sensor data. It was developed at FZI Research Center for Information Technology, Karlsruhe, Germany. xAffect can be used as a flexible, customizable middleware between physiological sensors and applications which require online feature computation (e.g. biofeedback or affective computing). Moreover, it can also be used as a standalone application for data acquisition and visualization. -
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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.
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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.
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