I have been with Microsoft Research since July, 2000. My primary goal is to build automatic speech recognition systems that are as good as, or better than, humans.
Other projects I’ve worked on include noise robust speech recognition, general speech signal enhancement, pitch tracking, multiple stream ASR, novel speech recognition features, MiPad multimodal interface, cepstral compression and transport, and the WITTY microphone.
I earned my Ph.D. in Electrical Engineering at the University of Washington’s Interactive Systems Design Laboratory in June of 2000. Early in my studies, I helped to develop a discrete theory for time-frequency representations of non-stationary audio signals. The application of this theory to speech recognition was the core of my thesis, “Time-Frequency Representations for Speech Recognition.” Other projects I worked on during this time included a GMM-based speaker verification system, subliminal audio message encoding, and non-linear signal morphing.
My MSEE was also earned at the University of Washington, in 1996. I earned my BSEE from Gonzaga University in Spokane, in 1994. My final project consisted of building a control system for a high speed dot-matrix printer. I wrote a paper comparing and contrasting the behavior of fuzzy controllers to linear controllers, and received first prize in the region’s IEEE paper contest.