Search Results for "scientific"
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23 projects for "scientific" with 2 filters applied:
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Source code from the Research Institute for Signals, Systems and Computational Intelligence http://fich.unl.edu.ar/sinc
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AhoTTS - TTS for Basque and Spanish
Text-to-Speech for Basque and Spanish
Text-to-Speech conversor for Basque and Spanish. It includes linguistic processing and built voices for the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high quality vocoder called AhoCoder. Developed by Aholab Signal Processing Laboratory: https://aholab.ehu.es/aholab/ http://aholab.ehu.es/ahocoder/ -
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AhoTTS Multilingual, a Multilingual TTS
Text-to-Speech TTS for Basque, Spanish, Catalan, Galician and English
Text-to-Speech conversor for Basque, Spanish, Catalan, Galician and English. It includes linguistic processing and built voices for all the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high quality vocoder called AhoCoder. Developed by Aholab Signal Processing Laboratory: https://aholab.ehu.es/aholab/ http://aholab.ehu.es/ahocoder/ -
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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,... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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srt-translator
Subtitle translator from one natural language to other.
Translating subtitles in format SubRip from one natural language to other. It is based on Google Translate without API and therefore without payment. Translator have automatic and manual spell checkers. -
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MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
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eNTranslator
To aid translation of satsangs of Paramhamsa Nithyananda
To aid translation of satsangs of Paramhamsa Nithyananda. Can be used for general purpose by others as well. This translator desktop app uses google translator to translate English text. The auto generated translations are then enriched with human alternation using an easy graphical user interface. Time stamp information may be synched and a subtitle file or a simple textual output may be generated. Additionally it is planned to use google voice tools to also add voice over from these... -
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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. The output files are stored in HTK format. The software is developed at Department of... -
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pyespeak
Python to eSpeak speech synthesis
ctypes Python module for eSpeak http://espeak.sf.net speech synthesis -
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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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Spantus - signal(speech) analytical tool
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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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Audacity-Extra
dark themed version of free Audacity sound editor
audacity-extra now provides a sleek dark themed version of the Audacity open source sound editor. The project experiments with Audacity variations. There's a vowel-sound target-practice display for language learners and an analog waveform data logger for embedded systems. -
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ASR-Builder provides an easy-to-use interface to the HTK toolkit, that allows users to build ASR systems. ASR-Builder provides a platform that performs house-keeping tasks when using HTK and also provides default training/testing/recognition scripts.
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Free Open Source VoiceXML editor programmed in Java (Swing). The VoiceXML document is regularly parsed, a tree view is built and syntax errors are reported in a specific table.
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An open PHP-based framework for the Nabaztag™ (http://www.nabaztag.com/) electronic pet. Due to major changes on the Violet backend, OpenNab can no longer be connected to it but it still can be used as a standalone server to set your bunnies free !
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Auvai is a Java API and Java Swing based application for Text to Speech conversion of Unicode Tamil. Future direction of this API and application is to support Text to Speech conversion for all "Indic" languages.
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Project c2h - cetacean to human - building Seadragon, a tool for the scientific research of the acoustic communication of cetaceans, supporting the creation, emission, and recognition of underwater whistles. The blog: http://leafyseadragon.blogspot.com/
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Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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jATLAS is a Java implementation of ATLAS [Architecture and Tools for Linguistic Analysis Systems]. For more information, see http://jatlas.sourceforge.net.
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Find the pitch of a power spectrum (signal) as per the afferent/efferent neural crossover. This occurs between the Lateral olivocochlear efferents and the inner hair cell afferents.
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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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