METHOD AND APPARATUS FOR HIERARCHICAL TRAINING OF SPEECH MODELS FOR USE IN SPEAKER VERIFICATION

Patent №

US 6,499,012

Granted

2002-12-24

Filed 1999

Owner

NORTEL NETWORKS CORPORATION

Lab

AI components

4

ml · nlp · vision · speech

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09470995

A method and apparatus for generating a pair of data elements is provided suitable for use in a speaker verification system. The pair includes a first element representative of a speaker independent template and a second element representative of an extended speaker specific speech pattern. An audio signal forming enrollment data associated with a given speaker is received and processed to derive a speaker independent template and a speaker specific speech pattern. The speaker specific speech pattern is then processed to derive an extended speaker specific speech pattern. The extended speaker specific speech pattern includes a set of expanded speech models, each expanded speech model including a plurality of groups of states, the groups of states being linked to one another by inter-group transitions. Optionally, the expanded speech models are processed on the basis of the enrollment data to condition at least one of the plurality of inter-group transitions.

AI classification

Speech1.00
Machine learning1.00
Natural language0.98
Vision0.83
Planning0.24
AI hardware0.13
Evolutionary computation0.08
Knowledge representation0.02

Ownership

NORTEL NETWORKS CORPORATION

assignment · 107050314

Assignors

PETERS, STEPHEN DOUGLAS

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

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