4 Reasons why you should adopt the COMPRISE SDK

Introduction Voice-based applications are creating massive growth opportunities for European SMEs by enabling natural interaction with an ever-increasing range of services. Thanks to its naturalness and efficiency, voice has become a common means of accessing a range of services such as web search, car navigation, and smart home control. This…

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COMPRISE Features Two Main Branches

> The operating branch runs a spoken dialogue system on the user’s device or on a personal server. The dialogue outcomes are sent to the company delivering the desired service only. The training branch removes personal information from voice data using privacy driven text and voice transformers. The transformed data are sent to the COMPRISE Cloud-based Platform to train the spoken dialogue system. COMPRISE VOICE TRANSFORMER Prevents…

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Voice-based Applications for Consumers

Since the invention of the very first smartphone, many things have changed. While the first apps were only provided by the developers themselves, there are nowadays app stores with millions of apps for nearly everything [Ref1]. Challenges when developing consumer applications While developing an app, the developer has to think…

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Privacy vs. usability

In our previous posts [Post1] and [Post2], we have presented a rather streamlined version of the issue at hand and introduced quite a few simplifications along the way. Still, we have seen that privacy transformations of text are complex. A number of challenges presented themselves and we have discussed a…

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Handling private information in text

Removing sensitive portions from a text, sometimes known as “sanitizing”, is often done by simply blackening the relevant words. Many people have seen such a redacted document at some point, it’s a technique commonly applied to classified government reports, for instance. A prominent example of such a document from recent…

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Implementation of GDPR principles in machine learning

Today, voice-enabled technologies rely on a machine learning paradigm called deep learning. Deep learning has led to major improvements in speech-to-text, spoken language understanding, and dialogue management. Before moving into the GDPR principles, first, let’s first briefly recall the concepts of machine learning and deep learning introduced and detailed in…

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Business Opportunities Around Voice Enabled Technologies

Compatibility and integration are becoming essential features for voice technologies. The expected increase in the development of mid-level devices, which are able to connect with smart speakers, although not being fully smart themselves, serves as the perfect example [Ref1]. Despite the popularity of voice technologies, 41% of voice users report concerns on trust, privacy and…

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Voice-based applications for E-Health

Healthcare has been one of the countless beneficiaries of the revolutionary advances that widespread computing has brought. Fast, efficient data organisation, storage and access that have greatly sped up the medical enterprise, yet many low hanging fruits remain hanging. Chief among those is the increased application of technologies that can…

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Voice-based applications for E-commerce

Ethics in retail Our partner Intermarché is one of the biggest food retailers in France, Belgium, Poland and Portugal. Intermarché is an ethics-centered retailer that aims to promote ethical values at all levels of the company from the production of goods to the customers’ basket through the whole supply chain…

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Personal Data: Concept and Categorisation

On 25 May 2018, the General Data Protection Regulation (GDPR) came into force across the European Union. The new Regulation provides a broader definition of personal data with respect to its predecessor, the Data Protection Directive (DPD), and has rapidly become a standard for the processing of personal data not…

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Voice assistants: is someone listening to us?

In July 2019, the Flemish news outlet VRT published an article revealing that internet giant Google employs thousands of people around the globe to listen to recordings of the customers – mostly unbeknownst to them. This came as quite a shock given that an almost identical report was previously published by the…

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