Exploring the Evolution of Speech Recognition: From Audrey to Alexa
The field of speech recognition has seen remarkable evolution, driven by a quest to make machines understand and process human language as naturally as we do. This journey, marked by key innovations and transformative breakthroughs, illustrates our progressive mastery over machine-based communication.
Nkululeko – An Open-Source Platform to Teach Machine Learning
In cooperation with the Technical University of Berlin, audEERING is developing an open-source platform to teach machine learning to interested laymen.
Human in the Loop – How Do We Create AI?
Developing AI technology as we do at audEERING, we need to understand our human perception. Everyday perception is enabling us to realize the emotional state of our communication partner in different situations. In the process of Human Machine Learning we need to give the algorithm essential input. How do we at audEERING create AI?
Affective Computing in the Game Industry: From Machine Learning to Game User Interface
Two weeks ago, we wrote a short general article about emotions in video games. Make sure to check it out HERE (link to last article) if you have missed it. This week, we want to get a bit more specific and see how it actually started and how it works.
Know Your Data – Using Compressed Audio with Machine Learning Applications
Data collection is an important issue in machine learning research. If we use YouTube as a resource do we really know what we are getting? To that end do we really know what’s in our audio data?