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.
AI classification
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.