Portrait of Andreas Stolcke

Andreas Stolcke

Principal Researcher


I am a researcher in the Speech and Dialog Research Group at Microsoft Research, working at Microsoft’s Silicon Valley Campus. My interests include speech recognition and understanding, language modeling, speaker recognition, language and dialect recognition, machine translation, historical linguistics, and software tools for computational linguistics. I am also an External Fellow at the International Computer Science Institute (ICSI) in Berkeley, where I lead a joint project with Microsoft.

Prior to 2011, I worked in the Speech Technology and Research Laboratory at SRI International, mainly on government-funded research projects in speech recognition, speaker recognition, and machine translation, such as the DARPA projects EARS, GALE, and RATS.  While at SRI, I also collaborated with ICSI on recognition of multiparty meetings and other projects, and developed the open-source SRI Language Modeling Toolkit.
My Ph.D. research was  in Computer Science at the University of California, Berkeley, on parsing and Bayesian learning of stochastic grammars.


Eye Gaze and Face Pose for Better Speech Recognition

Established: October 2, 2014

We want to use eye gaze and face pose to understand what users are looking at, to what they are attending, and use this information to improve speech recognition. Any sort of language constraint makes speech recognition and understanding easier…

Dialog and Conversational Systems Research

Established: March 14, 2014

Conversational systems interact with people through language to assist, enable, or entertain. Research at Microsoft spans dialogs that use language exclusively, or in conjunctions with additional modalities like gesture; where language is spoken or in text; and in a variety…

Meeting Recognition and Understanding

Established: July 30, 2013

In most organizations, staff spend many hours in meetings. This project addresses all levels of analysis and understanding, from speaker tracking and robust speech transcription to meaning extraction and summarization, with the goal of increasing productivity both during the meeting…

Recurrent Neural Networks for Language Processing

Established: November 23, 2012

This project focuses on advancing the state-of-the-art in language processing with recurrent neural networks. We are currently applying these to language modeling, machine translation, speech recognition, language understanding and meaning representation. A special interest in is adding side-channels of information…











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