Patent №
US 7,664,640
Granted
2010-02-16
Filed 2005
Owner
QINETIQ LIMITED
Lab
—
AI components
2
ml · vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10509527
A signal processing system is disclosed which is implemented using Gaussian Mixture Model (GMM) based Hidden Markov Model (HMM), or a GMM alone, parameters of which are constrained during its optimization procedure. Also disclosed is a constraint system applied to input vectors representing the input signal to the system. The invention is particularly, but not exclusively, related to speech recognition systems. The invention reduces the tendency, common in prior art systems, to get caught in local minima associated with highly anisotropic Gaussian components—which reduces the recognizer performance—by employing the constraint system as above whereby the anisotropy of such components are minimized. The invention also covers a method of processing a signal, and a speech recognizer trained according to the method.
AI classification
Ownership
QINETIQ LIMITED
assignment · 165850668
Assignors
WEBBER, CHRISTOPHER JOHN ST. CLAIR
On an employer assignment, the assignors are typically the inventors.