Felix Weninger
Felix Weninger is a senior tech lead (Senior Principal Research Scientist) at Nuance Communications. His research interests include deep learning, speech recognition, speech emotion recognition, and source separation. He received his PhD degree in computer science from Technical University of Munich (TUM), Germany, in 2015. Prior to joining Nuance, he worked at Mitsubishi Electric Research […]
Deep learning technology has rapidly transformed the way that computers perform speech recognition. It has enabled us to build speech recognizers for very challenging applications such as Dragon Ambient eXperience (DAX), which transcribes conversations between doctor and patient. In particular, the end-to-end (E2E) speech recognition system has been a primary focus of research in recent […]
A crucial capability of automatic speech recognition (ASR) systems is to cope with variability in speech, caused by various accents, age groups, or other variations in speaking style, as well as noisy environments. Several years ago, Nuance’s Dragon dictation product line pioneered the usage of deep learning technology for speaker adaptation in professional dictation systems. […]
