Who Spoke When?

Who Spoke When?

Use of voice fingerprints in multi-speaker recordings — Speaker Diarization A journalist’s life is made easier if questions like these can be resolved right away: What was said when? How often does the person speak, and where exactly is the audio or video? SELMA...
How to satisfy data-hungry machine learning

How to satisfy data-hungry machine learning

Machine learning requires large quantities of labeled training data (for more insights, read more in this post). That means, in order to reach acceptable performance, current speech recognition systems training demands thousands of hours of transcribed speech. For...
A Yummy Piece of Cake

A Yummy Piece of Cake

What does machine learning in the language field have to do with a cake, you might ask yourself? And how does it come that in the end we can produce better subtitles? Don’t look any further- read on! Let them be cake! Facebook’s AI Director Yann LeCun...