AUTOMATIC GENERATION OF SIMPLE MARKOV MODEL STUNTED BASEFORMS FOR WORDS IN A VOCABULARY
Patent №
US 4,833,712
Granted
1989-05-23
Filed 1985
Owner
INTERNATIONAL BUSINESS MACHINES CORPORATION, A CORP OF NY
Lab
AI components
2
nlp · speech
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
06738934
In a system that (i) defines each word in a vocabulary by a fenemic baseform of fenemic phones, (ii) defines an alphabet of composite phones each of which corresponds to at least one fenemic phone, and (iii) generates a string of fenemes in response to speech input, the method provides for converting a word baseform comprised of fenemic phones into a stunted word baseform of composite phones by (a) replacing each fenemic phone in the fenemic phone word baseform by the composite phone corresponding thereto; and (b) merging together at least one pair of adjacent composite phones by a single composite phone where the adverse effect of the merging is below a predefined threshold.
AI classification
Ownership
INTERNATIONAL BUSINESS MACHINES CORPORATION, A CORP OF NY
assignment · 44210658
Assignors
BAHL, LALIT R., DE SOUZA, PETER V., MERCER, ROBERT L., PICHENY, MICHAEL A.
On an employer assignment, the assignors are typically the inventors.