‎"Behind every stack of books there is a flood of knowledge."

Ensemble Feature Selection for Automatic Speech Recognition

David Gelbart This is my ICSI page and for the most part it has not been updated since 2008. From 2000-2008 I was a member of the ICSI Speech group … Continue reading

April 8, 2013 · 1 Comment

Camera Calibration and 3D Reconstruction (OPEN CV 2.4.4)

The functions in this section use a so-called pinhole camera model. In this model, a scene view is formed by projecting 3D points into the image plane using a perspective … Continue reading

February 20, 2013 · Leave a comment

Cepstrum method – Speech Recognition

Introduction Power method Formant Trajectory Cepstrum method Result Conclusions Future work Bibliography LPC for Speech Recognition LPC has been widely used in speech recognition systems. In this section we describe … Continue reading

January 16, 2013 · Leave a comment

Artificial Neural Networks – Speech Recognition

Introduction Fundamentals of Speech Recognition Dynamic Time Warping Algorithm Neural Network Approaches Phoneme Classification Static Approaches Dynamic Approaches Introduction Speech is a natural mode of communication for people. We learn … Continue reading

January 16, 2013 · 1 Comment


ECE 476 Spring 2006 Final Project: Voice Recognition Security System by Xiaowen Lu (xl76) and Shihjia Lee (sl362) Extended Abstract Introduction High Level Design Program/Hardware Design Results Conclusions Appendix Commented Program Listing Schematics … Continue reading

January 16, 2013 · Leave a comment

Automatic Speech Recognition with Hidden Markov Models (OHSU)

Winter 2011 Mondays/Wednesdays, 11:30 a.m.- 1:00 p.m., Room WCC 403, Wilson Clark Center John-Paul Hosom ‘hosom’ at cslu¸ogi¸edu 503.748.1456 Course Description Hidden Markov Models (HMMs) are widely used in today’s … Continue reading

January 10, 2013 · Leave a comment