SYSTEM FOR ESTIMATING PARAMETERS OF A GAUSSIAN MIXTURE MODEL

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

Machine learning1.00
Vision0.76
Speech0.44
Natural language0.06
Knowledge representation0.01
AI hardware0.01
Planning0.00
Evolutionary computation0.00

Ownership

QINETIQ LIMITED

assignment · 165850668

Assignors

WEBBER, CHRISTOPHER JOHN ST. CLAIR

On an employer assignment, the assignors are typically the inventors.

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