SYSTEM AND METHOD OF RECOGNIZING AN ACOUSTIC ENVIRONMENT TO ADAPT A SET OF BASE RECOGNITION MODELS TO THE CURRENT ACOUSTIC ENVIRONMENT FOR SUBSEQUENT SPEECH RECOGNITION

Patent №

US 5,960,397

Granted

1999-09-28

Filed 1997

Owner

AT&T CORP.

Lab

AI components

7

ml · nlp · vision · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

08863927

A speech recognition system which effectively recognizes unknown speech from multiple acoustic environments includes a set of secondary models, each associated with one or more particular acoustic environments, integrated with a base set of recognition models. The speech recognition system is trained by making a set of secondary models in a first stage of training, and integrating the set of secondary models with a base set of recognition models in a second stage of training.

AI classification

Machine learning1.00
Speech1.00
Natural language1.00
AI hardware0.98
Knowledge representation0.94
Planning0.89
Vision0.71
Evolutionary computation0.00

Ownership

AT&T CORP.

assignment · 86330289

Assignors

RAHIM, MAZIN G.

On an employer assignment, the assignors are typically the inventors.

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