The joint efforts of the COMPRISE consortium continue bearing results as the COMPRISE solutions are used in an E-Commerce app created by our partner Netfective Technology. This app demonstrates for companies that wish to expand their customer base beyond a single language the possibilities of adding privacy aware multilingual voice…
The joint efforts of the COMPRISE consortium continue bearing results as the COMPRISE solutions are used in E-Health apps created by our partner TILDE. These two apps demonstrate the possibility for companies that support medical institutions to add privacy aware multilingual voice enabled features cost efficiently using the COMPRISE solution….
The joint efforts of the COMPRISE consortium continue bearing results as the COMPRISE are used in consumer apps created by our partner Ascora GmbH. These three apps demonstrate the possibility for software developing companies and freelance developers to add privacy aware multilingual voice enabled features cost efficiently using the COMPRISE…
The sixth COMPRISE plenary meeting was held on October 21, 2021 remotely and on location at Saarbrücken. We were thrilled to welcome seven Advisory Board members from ELDA, CrossLang, DATAMED, FVLLMONTI, /e/OS, CNIL & CHRU-Lille.
Dietrich Klakow from Saarland University has been invited to participate at the EBDVF 2021 session on “Data and AI to remove language barriers and address societal challenges” ! EBDVF 2021 will be an excellent opportunity to promote COMPRISE to the broader AI and data community.
COMPRISE has just published an article titled “Data labelling: the hidden cost of voice-enabled technologies” in Technology.org This article talks about the methods used, so that a computer can understand speech. Click here to read the article!
How Technology is Changing Court Reporting A Brief history of Court Reporting and Stenography As Adam Brooks writes in his essay The History of Court Reporting and Stenography, technological advancements in the world of court reporting and stenography begin almost with the beginning of writing itself. In ancient Mesopotamia, the…
Cloze-style Zero-shot Named Entity Recognition “You Can Call Me Al” is the title of a 1980’s hit pop song by Paul Simon, and it’s not an unusual phrase to say. Unlike most things, people normally have names. That’s why, if someone wishes to write something down, you’re much more likely…
COMPRISE has just published an article titled “Anonymisation and Re-Identification Risk for Voice Data” in Volume 7 (2021), Issue 2 of the European Data Protection Law Review (EDPL). This article talks in-depth about the challenges of anonymising voice data in relation to the GDPR. It focuses on the automatic anonymisation…
COMPRISE has just published an article titled “Enabling Voice-Based Apps with European Values” in the 126th issue of the ERCIM News magazine. This article gives a brief introduction to the challenges, and our solutions, in preserving user privacy while maintaining the usability of dialogue data. Click here to read the…
The fifth COMPRISE plenary meeting was held remotely on June 28, 2021. We were thrilled to welcome the following advisory board members: Gaël Duval (e.foundation) Johannes Fischer (Fraunhofer IIS, SPEAKER Project) Tom Vanallemeersch (ELRC Project) Georgeta Bordea and Jean-Luc Rouas (FVLLMONTI Project)
The joint efforts of the COMPRISE consortium continue bearing results as the COMPRISE Speech-to-Text Translation has been released by our partner TILDE. The COMPRISE Speech-to-Text Translation combines Speech-to-Text and Machine Translation in a smart manner in order to allow a user to speak his/her own language when interacting with a…
Protecting User Privacy with Voice Conversion With the increasing popularity of smart devices, more and more users have access to voice-based interfaces. Voice-based interfaces offer simple access to modern technologies and enable the development of new services. The building blocks behind these speech-based technologies are no longer handcrafted but learned…
Data annotation for Speech-to-Text and Natural Language Understanding What is Machine Learning? Machine learning refers to “Training AI algorithms to make decisions or predictions based on large amounts of data”. There are several types of machine learning techniques, depending on the amount of human knowledge provided as input: supervised learning,…
The COMPRISE Speech-to-Text-Translation: Discover the benefits! What is it? COMPRISE Speech-to-Text-Translation combines “Speech-to-Text” and “Machine Translation” in a smart way, to allow a user to speak his or her own language when interacting with a dialogue system that is internally designed for a different language. Why do I need it?…
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…
COMPRISE has provided input to the European Data Protection Board’s (EDPB) consultation on its draft guidelines on virtual assistants (“Guidelines 02/2021 on Virtual Voice Assistants”) published on 9th March, 2021. Check at the following link the comments provided by COMPRISE! https://edpb.europa.eu/sites/default/files/webform/public_consultation_reply/edpb_feedback_by_comprise.pdf
COMPRISE has just published an article titled “The accent gap problem in minorities and dialect speakers” in Technology.org Click here to read the article!
Recent times have seen a remarkable growth of interest for smart software that offers advanced features built upon cutting-edge artificial intelligence (AI) and machine learning (ML) methods, such as the ability to detect and adapt to voice commands, parse natural language, classify video and images, forecast more accurately complex financial…
The joint efforts of the COMPRISE consortium continue bearing results as the COMPRISE Weakly Supervised Speech-to-Text (STT) and COMPRISE Weakly Supervised Natural Language Understanding (NLU) Tools have been released have been released. The COMPRISE Weakly Supervised STT and COMPRISE Weakly Supervised NLU are innovative software tools for automatic data transcription…
The Accent Gap: What it is, and how to tackle it. Here is a quick introduction to the Accent Gap. What is the Accent Gap? The accent gap is the inability of voice technologies to understand speakers with non-native or regional accents with the same accuracy as the majority of…
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…
The joint efforts of the COMPRISE consortium continue bearing results as the COMPRISE Cloud Platform has been released. The COMPRISE Cloud Platform, developers can manage multilingual speech and text data and models to create multilingual, voice-enabled applications in a faster, cost-effective, privacy-driven way. Check our press-release about our released tool!
Emmanuel Vincent from INRIA gave a great presentation about COMPRISE at a seminar series at the Japanese National Institute of Advanced Industrial Science and Technology (AIST)
Voice-based applications are still important. In fact, a survey by Adobe [Ref1] shows that during the COVID-19 pandemic the importance of voice-based applications has increased, thanks to their contactless interaction method and the desire for a safer, sanitary alternative. As much as one in three voice technology users mentioned hygiene…
The fourth COMPRISE plenary meeting was held remotely on January 12, 2021. We were thrilled to welcome the following advisory board members: Paul Andrey (CHU de Lille) Victoria Arranz (ELDA/ELRA) Kaspars Grosu (DATAMED)
