Search Results for "python application template"
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Showing 7 open source projects for "python application template"
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Diffgram
Training data (data labeling, annotation, workflow) for all data types
From ingesting data to exploring it, annotating it, and managing workflows. Diffgram is a single application that will improve your data labeling and bring all aspects of training data under a single roof. Diffgram is world’s first truly open source training data platform that focuses on giving its users an unlimited experience. This is aimed to reduce your data labeling bills and increase your Training Data Quality. Training Data is the art of supervising machines through data. This includes... -
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wav2letter++
Facebook AI research's automatic speech recognition toolkit
First, install Flashlight (using the 0.3 branch is required) with the ASR application. This repository includes recipes to reproduce the following research papers as well as pre-trained models. All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run... -
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Lip Reading
Cross Audio-Visual Recognition using 3D Architectures
The input pipeline must be prepared by the users. This code is aimed to provide the implementation for Coupled 3D Convolutional Neural Networks for audio-visual matching. Lip-reading can be a specific application for this work. Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker verification in multi-speaker scenarios. The approach of AVR systems is to leverage... -
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MDictate
Speech to text using python, pocketsphinx, ready to deploy
Automated speech recognition software is extremely cumbersome. This project's aim is to incrementally improve the quality of an open-source and ready to deploy speech to text recognition system. Runs on Windows using the mdictate.exe, but the core workings are found in the mdictate.py script which should work on Windows/Linux/OS X. In version 1.0, we use pocketsphinx' default setup with a basic graphic interface. -
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5
voicecommand
Run Bash commands using Google voice recognition
This simple pygtk application uses ffmpeg and arecord; to record sound Google's unofficial text to speech service; to convert sound to text The python subprocess module to run the text as a shell command. The text to speech service used by this application is unofficial, and this program should therefore be considered a complete hack. -
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Domotic Speech-recognition interface
Speech-recognition interface for a domotic system.
... interface and a web application. These interfaces allow to visualize oral commands, train and delete trainings. -
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Provides a voice interface for applications via a plug in system. Allows the inclusion of voice recognition in an application with a minimum of effort.
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