Stephen H. Shum
sshum (at) csail (dot) mit (dot) edu
I am currently in my final year as a Graduate Student in Electrical Engineering and Computer Science (EECS) at MIT.
I work with Jim Glass and Najim Dehak in the Spoken Language Systems (SLS) group at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).
The general scope of my research is in signal processing and machine learning as applied to speech and music. More specifically, I am interested in the use of unsupervised methods to perform statistical inference on an audio signal. For the last few years, I have been working primarily in the realm of speaker identification (i.e. recognition and diarization), but I am also very interested in techniques from computational auditory scene analysis (CASA) that can be applied to more general, non-speech audio.
In May 2009, I graduated from UC Berkeley. Go Bears!