Ethics in Voice Technologies

Ethical concerns related to the use of voice technologies The ethical use of voice technologies, such as speech and voice recognition, is becoming more important every day. Devices such as smart speakers, smartphones or smartwatches collect massive amounts of data from users thanks to the wide range of activities they…

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The COMPRISE Cloud Platform

Overview The COMPRISE Cloud Platform provides a highly scalable, open-source, cloud-based solution for the management of multilingual speech and text data and models. The COMPRISE Cloud Platform offers a web application programming interface (API) and a web-based user interface (UI) which allow users to upload, store and manage speech and…

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COMPRISE WEAKLY SUPERVISED NLU

Discover COMPRISE Weakly Supervised NLU, an innovative automatic data labelling and model training software for Natural Language Understanding (NLU). Today’s Deep Learning technology is hungry for data – the more, the better. But for many tasks, raw data is not enough: every sample of data needs to be labelled first,…

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Comprise SDK

Overview Are you a developer? Thanks to the COMPRISE SDK, you can now create multilingual, voice-enabled applications in a faster, cost-effective, and privacy-driven way. The SDK is made for Smartphone applications developed with the Ionic framework, with Angular as a foundation. It consists of: The COMPRISE Client Library, which can…

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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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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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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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