Develop VoiceLab Automatic Speech Recognition System (ARM) based on Deep Neural Networks (DNN) and develop an innovative RAMD (Rapid Acoustic Model Development) data collection and training system to achieve super-human performance. (Q120773): Difference between revisions
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Revision as of 16:26, 29 October 2020
Project Q120773 in Poland
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Develop VoiceLab Automatic Speech Recognition System (ARM) based on Deep Neural Networks (DNN) and develop an innovative RAMD (Rapid Acoustic Model Development) data collection and training system to achieve super-human performance. |
Project Q120773 in Poland |
Statements
4,704,949.0 zloty
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6,772,330.0 zloty
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69.47 percent
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1 July 2016
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30 June 2020
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VOICELAB.AI SP. Z O.O.
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Projekt polega na zbudowaniu systemu ARM (Automatyczne Rozpoznawanie Mowy) VoiceLab w celu osiągnięcia najwyższej skuteczności rozpoznawania mowy na poziomie dorównującym człowiekowi w analogicznych warunkach akustycznych (super human performance) w oparciu o głębokie sieci neuronowe DNN (Deep Neural Network). Nowy system ARM VoiceLab będzie działał w trudnych warunkach akustycznych w oparciu o bardzo dużą ilości danych treningowych, dla różnych typów języków, przy uzyskaniu poziomu wyników konkurencyjnych do najlepszych tego typu rozwiązań na świecie. Równorzędnym celem projektu jest również zbudowanie systemu do szybkiego zbierania danych wykorzystywanych do treningu modeli akustycznych RAMD (Rapid Acoustic Model Development). System ten będzie umożliwiał iteracyjnie prowadzenie badań i kontynuowanie dalszych prac rozwojowych nad rozpoznawaniem mowy. (Polish)
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The project consists of building a VoiceLab (Automatic Speech Recognition) system in order to achieve the highest efficiency of speech recognition at a level equal to humans under super human performance based on deep neural networks DNN (Deep Neural Network). The new ARM VoiceLab system will operate in difficult acoustic conditions based on a very large amount of training data, for different types of languages, with a level of competitive results to the best of this type in the world. The equivalent goal of the project is also to build a system for quick data collection used for training RAMD acoustic models (Rapid Acoustic Model Development). This system will enable iterative research and further development of speech recognition. (English)
21 October 2020
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Identifiers
RPPM.01.01.01-22-0026/16
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