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

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

Natural language1.00
Speech0.97
Machine learning0.04
Knowledge representation0.01
AI hardware0.01
Evolutionary computation0.00
Vision0.00
Planning0.00

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.

From the same owner

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