John Steinberg

John Steinberg joined the Artificial Intelligence Technology and Systems group at MIT Lincoln Laboratory in 2018. He supports a variety of human language technology (HLT) programs and specializes in speech to text (STT) applications. His current research areas include building automated foreign language learning tools and developing semi-automated closed captioning systems for the deaf and hard of hearing community in the U.S. Government. Though he specializes in STT applications, he is also interested in the larger field of multimedia processing and has worked on optical character recognition (OCR) and speaker, language, and gender recognition.

Prior to joining the Laboratory, he worked for several years in applied HLT research at the Department of Defense (DoD) where he largely focused on domain adaptation strategies for STT systems. Much of this work was devoted to developing multilingual, cross-lingual, and semisupervised training strategies to build robust systems ranging from high to low resource scenarios. During his time at the DoD he received the Deckert-Foster Award for Engineering Excellence as well as many other awards for collaboration, contributions to HLT research, and exemplary service.

Steinberg received his MS from Temple University in electrical engineering with a focus on speech recognition. His continuing passion for science, technology, and language began at Hamilton College where he received a BA in physics and minors in mathematics and Mandarin Chinese.