CONSTRUCTING MARKOV MODEL WORD BASEFORMS FROM MULTIPLE UTTERANCES BY CONCATENATING MODEL SEQUENCES FOR WORD SEGMENTS
Patent №
US 4,819,271
Granted
1989-04-04
Filed 1987
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION, ARMONK, NEW YORK 10504, A CORP. OF NEW YORK
Lab
AI components
3
ml · nlp · speech
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
07133719
The present invention relates to apparatus and method for segmenting multiple utterances of a vocabulary word in a consistent and coherent manner and determining a Markov model sequence for each segment. A fenemic Markov model corresponds to each label.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION, ARMONK, NEW YORK 10504, A CORP. OF NEW YORK
assignment · 48020613
Assignors
BAHL, LALIT R., DE SOUZA, PETER V., MERCER, ROBERT L., PICHENY, MICHAEL A.
On an employer assignment, the assignors are typically the inventors.