公开(公告)号：US20180286385A1

公开(公告)日：2018-10-04

申请号：US16000742

申请日：2018-06-05

Applicant: GENESYS TELECOMMUNICATIONS LABORATORIES, INC.

Inventor： Aravind Ganapathiraju ,  Yingyi Tan ,  Felix Immanuel Wyss ,  Scott Allen Randal

IPC: G10L15/01 ,  G10L15/08

CPC classification number: G10L15/01 ,  G10L2015/088

Abstract: A system and method are presented for predicting speech recognition performance using accuracy scores in speech recognition systems within the speech analytics field. A keyword set is selected. Figure of Merit (FOM) is computed for the keyword set. Relevant features that describe the word individually and in relation to other words in the language are computed. A mapping from these features to FOM is learned. This mapping can be generalized via a suitable machine learning algorithm and be used to predict FOM for a new keyword. In at least embodiment, the predicted FOM may be used to adjust internals of speech recognition engine to achieve a consistent behavior for all inputs for various settings of confidence values.

公开(公告)号：US10360898B2

公开(公告)日：2019-07-23

申请号：US16000742

申请日：2018-06-05

Applicant: GENESYS TELECOMMUNICATIONS LABORATORIES, INC.

Inventor： Aravind Ganapathiraju ,  Yingyi Tan ,  Felix Immanuel Wyss ,  Scott Allen Randal

IPC: G10L15/01 ,  G10L15/08

Abstract: A system and method are presented for predicting speech recognition performance using accuracy scores in speech recognition systems within the speech analytics field. A keyword set is selected. Figure of Merit (FOM) is computed for the keyword set. Relevant features that describe the word individually and in relation to other words in the language are computed. A mapping from these features to FOM is learned. This mapping can be generalized via a suitable machine learning algorithm and be used to predict FOM for a new keyword. In at least embodiment, the predicted FOM may be used to adjust internals of speech recognition engine to achieve a consistent behavior for all inputs for various settings of confidence values.