SPEAKER: Friedrich Faubel

TITLE: Particle Filters for the Supression of Background Noises in Speech

ABSTRACT: Particle filters, originally developed for tracking aplications 
such as pursuing airplanes in radars or persons in video images are 
increasingly pervading other fields of engineering covering navigation, 
robotics and (industrial) process control. Recently they have found their 
way into speech recognition where they are used to track background noises 
that contaminate speech spectra. The noise is then compensated for by 
statistical inference. The talk will present the original approach by Raj, 
Singh, Stern, some extensions and some of the remaining problems.

BIO: Friedrich Faubel is a student from Karlsruhe, Germany who is currently 
finishing his diploma thesis at CMU with an interACT scholarship. A paper 
presenting some of the results was accepted for publication at Interspeech 
2006 under the title "Coupling Particle Filters with Automatic Speech 
Recognition for Speech Feature Enhancement".