PAY-ME-ATTENTION SIGNED
Disrupting the Communication between Humans and Computers - Understanding the Key Message in Simultaneous Conversations Through Voice Biometrics
Total Cost €
0EC-Contrib. €
0Partnership
0Views
0PAY-ME-ATTENTION project word cloud
Explore the words cloud of the PAY-ME-ATTENTION project. It provides you a very rough idea of what is the project "PAY-ME-ATTENTION" about.
Project "PAY-ME-ATTENTION" data sheet
The following table provides information about the project.
| Coordinator |
VERBIO TECHNOLOGIES SL
Organization address contact info |
| Coordinator Country | Spain [ES] |
| Project website | https://pay-me-attention.verbio.com/ |
| Total cost | 1˙311˙000 € |
| EC max contribution | 917˙700 € (70%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) 2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument) |
| Code Call | H2020-SMEINST-2-2016-2017 |
| Funding Scheme | SME-2 |
| Starting year | 2017 |
| Duration (year-month-day) | from 2017-09-01 to 2019-08-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | VERBIO TECHNOLOGIES SL | ES (BARCELONA) | coordinator | 917˙700.00 |
Map
Project objective
Verbio was born as a speech technology company in 1999. We are revolutionizing communication between people and computers – allowing people to communicate naturally with machines. We are the first European company in adapting Deep Neural Networks (DNN) to speech and text, which makes us the champions in telephony and at the centre of cognitive technology. Our investment in R&D has provided us with the best results in the industry in terms of accuracy, noise robustness and voice biometrics. A patent is protecting our innovations: Natural and Secure Conversational Software. Real-time DNN and analytics will shortly be at the pinnacle. IoT-connected contact centres will be collaborating and analysing what one is saying to another. Verbio Pay-me-attention: As humans, we know to who we have to pay attention when several persons speak at the same time. Bots must also know who is the main actor of the conversation. And Verbio with Blind Source Separation (BSS) and Primary Motor Area (PMA) is giving to IoT the capacity of discernation. This is of paramount importance for mobile chatbots, autonomous cars, shopping assistants, web assistants, wearables and robots, as by 2020, 85% of interactions with clients will no longer have any human intervention. Reports forecast a market value of $7.1 trillion by 2020 for IoT, and specifically 'Speech & Voice Recognition Market' indicates US$ 11.96 Billion by 2022. Our customers (CISCO, HUAWEI, HP, SOFTBANK…) are looking for voice solutions that can be easily integrated within their applications. It is not practical to offer large up-front licensing costs and complex licensing requirements. We have a flexible cloud based SaaS model, 90% cheaper than competing services (0.02€/transaction). For the last 4 years Verbio has been growing 30% year over year in revenue. We project our growth to reach €57 million by 2023. Our specialized team is expected to grow dynamically while we expand our international presence (EU, US and LATAM).
Deliverables
| Communication Plan results | Documents, reports | 2020-01-14 15:07:27 |
Take a look to the deliverables list in detail: detailed list of PAY-ME-ATTENTION deliverables.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PAY-ME-ATTENTION" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "PAY-ME-ATTENTION" are provided by the European Opendata Portal: CORDIS opendata.