The 2004 MIT Lincoln Laboratory Speaker Recognition System
D.A. Reynolds, William M. Campbell, T.T. Gleason, Carl Quillen, Douglas E. Sturim, Pedro A. Torres‐Carrasquillo, André Adami · 2006
The MIT Lincoln Laboratory submission for the 2004 NIST speaker recognition evaluation (SRE) was built upon seven core systems using speaker information from short-term acoustics, pitch and duration prosodic behavior, and phoneme and word usage. These different levels of information were modeled and classified using Gaussian mixture models, support vector machines and N-gram language models and were combined using a single layer perceptron fuser. The 2004 SRE used a new multi-lingual, multi-channel speech corpus that provided a challenging speaker detection task for the above systems. We describe the core systems used and provide an overview of their performance on the 2004 SRE detection tasks.