UPDATING HIDDEN CONDITIONAL RANDOM FIELD MODEL PARAMETERS AFTER PROCESSING INDIVIDUAL TRAINING SAMPLES
Patent №
US 7,689,419
Granted
2010-03-30
Filed 2005
Owner
MICROSOFT CORPORATION
Lab
AI components
4
ml · nlp · speech · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11233148
A method and apparatus are provided for training parameters in a hidden conditional random field model for use in speech recognition and phonetic classification. The hidden conditional random field model uses parameterized features that are determined from a segment of speech, and those values are used to identify a phonetic unit for the segment of speech. The parameters are updated after processing of individual training samples.
AI classification
Ownership
MICROSOFT CORPORATION
assignment · 166530544
Assignors
MAHAJAN, MILIND V., ACERO, ALEJANDRO, GUNAWARDANA, ASELA J., PLATT, JOHN C.
On an employer assignment, the assignors are typically the inventors.