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
Ownership
NORTEL NETWORKS CORPORATION
assignment · 107050314
Assignors
PETERS, STEPHEN DOUGLAS
On an employer assignment, the assignors are typically the inventors.