SPEAKER ADAPTATION SYSTEM AND METHOD BASED ON CLASS-SPECIFIC PRE-CLUSTERING TRAINING SPEAKERS

Patent №

US 6,073,096

Granted

2000-06-06

Filed 1998

Owner

IBM CORPORATION

AI components

4

ml · nlp · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09018350

A method of speech recognition, in accordance with the present invention includes the steps of grouping acoustics to form classes based on acoustic features, clustering training speakers by the classes to provide class-specific cluster systems, selecting from the cluster systems, a subset of cluster systems closest to adaptation data from a test speaker, transforming the subset of cluster systems to bring the subset of cluster systems closer to the test speaker based on the adaptation data to form adapted cluster systems and combining the adapted cluster systems to create a speaker adapted system for decoding speech from the test speaker. System and methods for building speech recognition systems as well as adapting speaker systems for class-specific speaker clusters are included.

AI classification

Speech1.00
Machine learning1.00
Natural language1.00
AI hardware0.91
Vision0.24
Knowledge representation0.22
Evolutionary computation0.00
Planning0.00

Ownership

IBM CORPORATION

assignment · 89710110

Assignors

GAO, YUQING, PADMANABHAN, MUKUND, PICHENY, MICHAEL A.

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

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