ADR-IVA services platform for the automation of the work of the emergency call lines (Q107920): Difference between revisions
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(Removed claim: summary (P836): The project involves the creation of a specialised self-studying system of Smart Virtual Agenta (IVA) using ASR’s speech recognition technology for the purposes of the automation of dialogue processes in multilingual emergency information lines such as: hotlines for electricity, water, gas networks and hotlines used by emergency management centres. IVa equipped with advanced speech recognition algorithms will be an innovative solution to the p...) |
(Created claim: summary (P836): The project involves the creation of a specialised self-learning Intelligent Virtual Agent (IVA) system using ASR speech recognition technology to automate dialogue processes in multilingual emergency call lines such as: emergency hotlines for power, water, gas and hotlines used by crisis management centres. IVa equipped with advanced speech recognition algorithms will be an innovative solution to problems of failure when dealing with high conne...) |
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The project involves the creation of a specialised self-learning Intelligent Virtual Agent (IVA) system using ASR speech recognition technology to automate dialogue processes in multilingual emergency call lines such as: emergency hotlines for power, water, gas and hotlines used by crisis management centres. IVa equipped with advanced speech recognition algorithms will be an innovative solution to problems of failure when dealing with high connection dynamics. In order to achieve an effect that fully responds to recognised market demand, the project assumes: a) carrying out industrial research and development work in order to create a specialised solution for speech recognition (ASR) with an effective mechanism for recognising the context of the location (city, street, number) and with a closed dictionary of event categories (power failure, lack of hot water, broken electrical cord, etc.) in terms of the domains of call call, b) the development of a tool containing the services of artificial intelligence (AI), which is used for automatic learning by the system of subsequent languages. c) the performance of which can be performed by the service provider. (English) | |||||||||||||||
| Property / summary: The project involves the creation of a specialised self-learning Intelligent Virtual Agent (IVA) system using ASR speech recognition technology to automate dialogue processes in multilingual emergency call lines such as: emergency hotlines for power, water, gas and hotlines used by crisis management centres. IVa equipped with advanced speech recognition algorithms will be an innovative solution to problems of failure when dealing with high connection dynamics. In order to achieve an effect that fully responds to recognised market demand, the project assumes: a) carrying out industrial research and development work in order to create a specialised solution for speech recognition (ASR) with an effective mechanism for recognising the context of the location (city, street, number) and with a closed dictionary of event categories (power failure, lack of hot water, broken electrical cord, etc.) in terms of the domains of call call, b) the development of a tool containing the services of artificial intelligence (AI), which is used for automatic learning by the system of subsequent languages. c) the performance of which can be performed by the service provider. (English) / rank | |||||||||||||||
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| Property / summary: The project involves the creation of a specialised self-learning Intelligent Virtual Agent (IVA) system using ASR speech recognition technology to automate dialogue processes in multilingual emergency call lines such as: emergency hotlines for power, water, gas and hotlines used by crisis management centres. IVa equipped with advanced speech recognition algorithms will be an innovative solution to problems of failure when dealing with high connection dynamics. In order to achieve an effect that fully responds to recognised market demand, the project assumes: a) carrying out industrial research and development work in order to create a specialised solution for speech recognition (ASR) with an effective mechanism for recognising the context of the location (city, street, number) and with a closed dictionary of event categories (power failure, lack of hot water, broken electrical cord, etc.) in terms of the domains of call call, b) the development of a tool containing the services of artificial intelligence (AI), which is used for automatic learning by the system of subsequent languages. c) the performance of which can be performed by the service provider. (English) / qualifier | |||||||||||||||
point in time: 17 October 2020
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Revision as of 17:16, 17 October 2020
Project in Poland financed by DG Regio
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | ADR-IVA services platform for the automation of the work of the emergency call lines |
Project in Poland financed by DG Regio |
Statements
2,948,235.62 zloty
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3,923,406.99 zloty
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75.14 percent
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2 January 2017
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31 October 2018
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EMERLINE SP. Z O. O.
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52°14'1.3"N, 21°4'17.0"E
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Projekt zakłada stworzenie specjalizowanego samouczącego się systemu Inteligentnego Wirtualnego Agenta (IVA) wykorzystującego technologię rozpoznawania mowy ASR na potrzeby automatyzacji procesów dialogowych w wielojęzykowych awaryjnych infoliniach zgłoszeniowych takich jak: infolinie awarii sieci energetycznej, wodociągowej, gazowej oraz infolinie wykorzystywane przez centra zarządzania kryzysowego. IVA wyposażony w zaawansowane algorytmy rozpoznawania mowy będzie innowacyjnym rozwiązaniem problemów sytuacji awarii, gdy mamy do czynienia z dużą dynamiką połączeń. Aby osiągnąć efekt odpowiadający w pełni na rozpoznane zapotrzebowanie rynkowe, projekt zakłada: a) przeprowadzenie badań przemysłowych oraz prac rozwojowych w celu stworzenia specjalizowanego rozwiązania rozpoznawania mowy (ASR) ze skutecznym mechanizmem rozpoznawania kontekstu lokalizacji (miasto, ulica, numer) oraz z zamkniętym słownikiem kategorii zdarzeń (awaria zasilania, brak ciepłej wody, zerwany przewód elektryczny itp.) w warunkach rozmowy telefonicznej, b) opracowanie narzędzia zawierającego elementy sztucznej inteligencji (AI), służącego do automatycznego uczenia się przez system kolejnych języków. c) opracowanie adaptacyjnego interfejsu programowego pozwalającego Wirtualnemu Agentowi na integrację z systemami dziedzinowymi Klientów (bazy danych, bazy wiedzy) na bazie, których będzie mógł prowadzić proces dialogowy. d) opracowanie skalowalnej platformy zarówno pod kątem pojemności i wydajności jak również zdolnej do obsługi wielu języków mowy. e) Przetestowanie współdziałania systemu IVA z platformą usługową 1stCall wnioskodawcy. f) Przetestowanie działającego prototypu skalowalnej usługi IVA realizującej przykładowy proces biznesowy w porozumieniu z klientem Wnioskodawcy (np. spółki energetycznej). (Polish)
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The project involves the creation of a specialised self-learning Intelligent Virtual Agent (IVA) system using ASR speech recognition technology to automate dialogue processes in multilingual emergency call lines such as: emergency hotlines for power, water, gas and hotlines used by crisis management centres. IVa equipped with advanced speech recognition algorithms will be an innovative solution to problems of failure when dealing with high connection dynamics. In order to achieve an effect that fully responds to recognised market demand, the project assumes: a) carrying out industrial research and development work in order to create a specialised solution for speech recognition (ASR) with an effective mechanism for recognising the context of the location (city, street, number) and with a closed dictionary of event categories (power failure, lack of hot water, broken electrical cord, etc.) in terms of the domains of call call, b) the development of a tool containing the services of artificial intelligence (AI), which is used for automatic learning by the system of subsequent languages. c) the performance of which can be performed by the service provider. (English)
17 October 2020
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Identifiers
RPMA.01.02.00-14-5746/16
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