ACCUMULATING TRANSFORMATIONS FOR HIERARCHICAL LINEAR REGRESSION HMM ADAPTATION

Patent №

US 7,089,183

Granted

2006-08-08

Filed 2001

Owner

TEXAS INSTRUMENTS INCORPORATED

Lab

AI components

5

ml · vision · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09887394

A new iterative hierarchical linear regression method for generating a set of linear transforms to adapt HMM speech models to a new environment for improved speech recognition is disclosed. The method determines a new set of linear transforms at an iterative step by Estimate-Maximize (EM) estimation, and then combines the new set of linear transforms with the prior set of linear transforms to form a new merged set of linear transforms. An iterative step may include realignment of adaptation speech data to the adapted HMM models to further improve speech recognition performance.

AI classification

Machine learning1.00
Speech1.00
Planning0.99
Vision0.96
AI hardware0.94
Knowledge representation0.21
Natural language0.00
Evolutionary computation0.00

Ownership

TEXAS INSTRUMENTS INCORPORATED

assignment · 119350183

Assignors

GONG, YIFAN

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

© 2026 NYSGPT2525 LLC