To develop an Automated Real-time Transfer Model (ARM) system based on deep Nour-based neural Networks and the creation of an innovative data collection and training system for RamD (Rapid Acoustic Model Development) to achieve a superhuman performance. (Q120773): Difference between revisions
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(Removed claim: summary (P836): The project consists of the construction of an ARM (Automatic Mic discovery) of the Voicecab in order to achieve the highest level of human performance in similar acoustic environments (super human performance) based on deep Nurone DNN (Deep Neural Network) networks. The new system for ARM VoigceLab will operate under difficult acoustic conditions, based on a very high number of training data, for different types of languages, with a high leve...) |
(Created claim: summary (P836): 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 resul...) |
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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) | |||||||||||||||
| Property / summary: 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) / rank | |||||||||||||||
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| Property / summary: 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) / qualifier | |||||||||||||||
point in time: 21 October 2020
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Revision as of 07:10, 21 October 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | To develop an Automated Real-time Transfer Model (ARM) system based on deep Nour-based neural Networks and the creation of an innovative data collection and training system for RamD (Rapid Acoustic Model Development) to achieve a superhuman performance. |
Project in Poland financed by DG Regio |
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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