Nelson Morgan

Nelson Morgan is a researcher and professor emeritus specializing in speech and audio processing. He is primarily known for his work in acoustic modeling for automatic speech recognition (ASR) and has made significant contributions to the field of deep learning as applied to speech.

Morgan received his Ph.D. from the University of California, Berkeley, where he later held a faculty position in the Electrical Engineering and Computer Sciences department and at the International Computer Science Institute (ICSI). His research at ICSI focused on robust speech recognition, leveraging techniques like neural networks and signal processing to improve ASR performance in noisy environments.

His work emphasizes data-driven approaches and the use of machine learning techniques to create speech recognition systems that are more resilient to variability in accent, environment, and speaking style. He has authored and co-authored numerous publications on these topics and has mentored many students who have gone on to prominent positions in the speech and language processing community.

A key aspect of Morgan's work has involved the integration of different types of acoustic features and the development of novel acoustic modeling techniques. He is recognized for his commitment to open-source research and for making his work accessible to the wider research community. He continues to contribute to the field as a consultant and advisor.