The EU research project EASIER aims to design, develop and validate a complete multilingual machine translation system to serve as a framework for accessible communication for deaf and hearing people.
Speaker Identification is an important part of voice-based technologies like voice and speech recognition. It can provide unique information like gender and age. So how can it affect a technology like emotion detection from speech?
The market for autonomous driving is projected to grow from 5,7 billion in 2018 to 60 billion US-Dollars in 2030. This shows the potential this technology will have in the future and is one of the reason why the German government provided funding for project SEMULIN.
The goal of the project SPEAKER is the development of an European smart speaker as competition to the American products on the market. This product should be characterized by European standards for data security. audEERING is part of the consortium to develop this solution.
We are happy to announce the availability of the next major release 3.0 of openSMILE, audEERING’s open-source, cross-platform audio feature extractor. With more than 150,000 downloads since its first publication in 2010 and more than 2650 citations in academic papers, openSMILE has become an immensely popular tool among the research community, audio-related companies and individuals. We strongly believe that researchers and enthusiasts should have free and unrestricted access to the fundamental tools that they need for their work and to make new advances in these fields.