System for estimating parameters of a gaussian mixture model

Details System for estimating parameters of a gaussian mixture model System for estimating parameters of a gaussian mixture model

2003-03-24

2010-02-16

Abebe, Daniel D (Department: 2626)

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

C704S244000, C704S245000, C704S256000

Reexamination Certificate

active

07664640

ABSTRACT:
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.

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