SYSTEM AND METHOD OF RECORDING UTTERANCES USING UNMANAGED CROWDS FOR NATURAL LANGUAGE PROCESSING

Patent №

US 9,448,993

Granted

2016-09-20

Filed 2015

Owner

VOICEBOX TECHNOLOGIES CORPORATION

Lab

AI components

5

ml · nlp · speech · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14846926

A system and method of recording utterances for building Named Entity Recognition (“NER”) models, which are used to build dialog systems in which a computer listens and responds to human voice dialog. Utterances to be uttered may be provided to users through their mobile devices, which may record the user uttering (e.g., verbalizing, speaking, etc.) the utterances and upload the recording to a computer for processing. The use of the user's mobile device, which is programmed with an utterance collection application (e.g., configured as a mobile app), facilitates the use of crowd-sourcing human intelligence tasking for widespread collection of utterances from a population of users. As such, obtaining large datasets for building NER models may be facilitated by the system and method disclosed herein.

Machine learningNatural languageSpeechPlanningAI hardwareG06F 40/295G06F 40/205G06F 40/284G06Q 10/10G10L 15/26G10L 17/24

AI classification

Speech1.00
Natural language1.00
Machine learning0.94
Planning0.89
AI hardware0.58
Knowledge representation0.38
Vision0.00
Evolutionary computation0.00

Ownership

VOICEBOX TECHNOLOGIES CORPORATION

assignment · 369100944

Assignors

BRAGA, DANIELA, KENNEWICK, MICHAEL, ROMANI, FARAZ, ELSHENAWY, AHMAD KHAMIS, ROTHWELL, SPENCER JOHN, CARTER, STEPHEN STEELE

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

From the same owner

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