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
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
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
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
VOICE RECOGNITION SECURITY SYSTEM
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
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
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