The blogs
DFKI students use nuance speech tools to create interactive IoT applications

In my last blog post, I explained how we use different types of Neural Networks for both ASR and NLU. We already touched upon DNNS, RNN, and NeuroCRF, and I did not even mention that we use CNNs (Convolutional Neural Networks) for the “intent” discovery aspect of NLU. Does this sound confusing? Fortunately for end-users everywhere, […]

This post is part of a series that explores the use of human assisted virtual agents, and how machine learning and artificial intelligence are being applied to ultimately improve the customer experience. Customer support automation is an important playing field for today’s Artificial Intelligence and Machine Learning systems. This no longer means primarily call centre […]

Dragon uses deep learning for more accurate speech recognition.

Everybody is special in how we use language – how we speak, the words we use, etc. In an earlier blog post, we saw how speech recognition systems eliminate this variation by training on speech and language data that cover many accents, age groups, or other variations in speaking style you might think of. This creates […]

technology can transcribe meetings between colleagues

Back in the 1990s, when you told someone that your company was working on speech recognition for jet pilots they would inevitably say, “Wow that must be difficult, because of all the noise.” And you would say, “Well, yes and no.” Yes, there is noise, but it is very predictable noise (caused by the engine […]