The SRI-ICSI Spring 2007 Meeting and Lecture Recognition System

We describe the latest version of the SRI-ICSI meeting and lecture recognition system, as was used in the NIST RT-07 evaluations, highlighting improvements made over the last year. Changes in the acoustic preprocessing include updated beamforming software for processing of multiple distant microphones, and various adjustments to the speech segmenter for close-talking microphones. Acoustic models were improved by the combined use of neuralnet-estimated phone posterior features, discriminative feature transforms trained with fMPE-MAP, and discriminative Gaussian estimation using MPE-MAP, as well as model adaptation specifically to nonnative and non-American speakers. The net effect of these enhancements was a 14-16% relative error reduction on distant microphones,and a 16-17% error reduction on close-talking microphones. Also, for the first time, we report results on a new “coffee break” meeting genre, and on a new NIST metric designed to evaluate combined speech diarization and re...

• Type: Conference
• Year: 2007
• Where: CLEAR
• Authors: Andreas Stolcke, Xavier Anguera, Kofi Boakye, Özgür Çetin, Adam Janin, Mathew Magimai-Doss, Chuck Wooters, Jing Zheng
• Keywords: Biometrics, CLEAR 2007, Close-talking Microphones, Discriminative Gaussian Estimation, Multiple Distant Microphones