公开(公告)号：US11508355B1

公开(公告)日：2022-11-22

申请号：US16172115

申请日：2018-10-26

Applicant: Interactions LLC

Inventor： Ryan Price ,  Srinivas Bangalore

IPC: G10L15/06 ,  G10L15/22 ,  G10L15/02 ,  G10L21/0232 ,  G10L15/18

Abstract: Systems and methods are disclosed herein for discerning aspects of user speech to determine user intent and/or other acoustic features of a sound input without the use of an ASR engine. To this end, a processor may receive a sound signal comprising raw acoustic data from a client device, and divides the data into acoustic units. The processor feeds the acoustic units through a first machine learning model to obtain a first output and determines a first mapping, using the first output, of each respective acoustic unit to a plurality of candidate representations of the respective acoustic unit. The processor feeds each candidate representation of the plurality through a second machine learning model to obtain a second output, determines a second mapping, using the second output, of each candidate representation to a known condition, and determines a label for the sound signal based on the second mapping.