US 6,285,980 B1 · Context sharing of similarities in context dependent word models

Abstract

A natural number recognition method and system that uses minimum classification error trained inter-word context dependent models of the head-body-tail type over a specific vocabulary. One part of the method and system allows recognition of spoken monetary amounts in financial transactions. A second part of the method and system allows recognition of numbers such as credit card or U.S. telephone numbers. A third part of the method and system allows recognition of natural language expressions of time, such as time of day, day of the week and date of the month for applications such as scheduling or schedule inquires. Even though limited natural language expressions are allowed, context sharing between similar sounds in the vocabulary within a head-body-tail model keeps storage and processing time requirements to manageable levels.

Claims22

Dependent claims

A method for automatic speech recognition comprising the steps of:

building a model for a vocabulary of sounds wherein at least two sounds share a common head or a common tail;
wherein said vocabulary of sounds includes subwords;
receiving an utterance containing at least one word;
processing the utterance into cepstral coefficients;
and
recognizing at least one word in the utterance using said model.

3 more elements

Dependencies are inferred from the claim text.

Context sharing of similarities in context dependent word models

Life of this patent

Context sharing of similarities in context dependent word models

Life of this patent

Abstract

Claims22