Search Results for "audio engineering"
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Showing 14 open source projects for "audio engineering"
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and... -
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ILA - teachable voice assistant
ILA is a fully customizable and teachable voice assistant for Java
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,... -
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JuliusModels
Open source speech models for Julius in English and other languages.
Open source speech models for Julius speech decoder. Its aim is to give access a wider community of speech recognition enthusiasts to quality models, which they can use in their own projects on different OS platforms (Unix, Windows, etc...) All of the models are based on HTK modelling software and data sets available freely on the Internet. -
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HMM Speech Recognition in Matlab
A speech recognition system using Matlab/Simulink/Stateflow.
This project provide hidden Markov model speech recognition system by using Matlab/Simulink/Stateflow. -
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HMM Speech Recognition in Java
HMM Speech Recognition in Java
HMM Speech Recognition in Java -
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ReconnaissanceVocale
Reconnaissance vocale puis restitution avec synthèse vocale
Ce programme est une démonstration de la reconnaissance vocale de windows 7 en Français N.B il est très important de faire l'apprentissage de votre voix pour avoir de bons résultats. Ce programme reconnait votre voix puis transmet à un logiciel de synthèse vocale l'ordinateur répète ce que vous dites. voir la vidéo http://youtu.be/_bGJxT1ulLY This program is a demonstration of the speech recognition in windows 7 in French. Note it is very important to learn your voice to have... -
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Project aim to provide simple easy APIs for Java developers to use interactive abilities in their Java Applications like speech recognition, handwriting recognition, use of web cam , sound record/play, decision trees , text to speech and many others.
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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.
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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.
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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.
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Voxapl is a suite of voice-enabled applications supporting voice recognition and text to speech functions for home automation services. It is written in Java and communicates via xAP and/or xPL messaging.
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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.
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SimpleSpeech is a research about developing automatic speech recognition (ASR) system that using Hidden Markov Models (HMM) method as the core engine. This research is purposed for students or ASR beginners that being interested in ASR.
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This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.
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