公开(公告)号：US20220293084A1

公开(公告)日：2022-09-15

申请号：US17627948

申请日：2020-07-09

Applicant: NEC Corporation

Inventor： Tomoyuki KAWABE

IPC: G10L13/02 ,  G10L17/00

Abstract: A call partner identification means identifies a call partner in order to make it possible for a user to easily identify the call partner by only the sense of hearing. A background sound selection means selects a background sound corresponding to the identified call partner. A synthesis means synthesizes a call speech signal and the selected background sound.

公开(公告)号：US20240386874A1

公开(公告)日：2024-11-21

申请号：US18785241

申请日：2024-07-26

Applicant: NEC Corporation

Inventor： Tomoyuki KAWABE

IPC: G10L13/02 ,  G10L17/00

Abstract: A call partner identification means identifies a call partner in order to make it possible for a user to easily identify the call partner by only the sense of hearing. A background sound selection means selects a background sound corresponding to the identified call partner. A synthesis means synthesizes a call speech signal and the selected background sound.

公开(公告)号：US20230320593A1

公开(公告)日：2023-10-12

申请号：US18022859

申请日：2020-09-30

Applicant: NEC Corporation

Inventor： Tomoyuki KAWABE

IPC: A61B5/01 ,  A61B5/1171 ,  A61B5/00 ,  G06T7/00

CPC classification number: A61B5/01 ,  A61B5/1176 ,  A61B5/0077 ,  G06T7/0016

Abstract: The apparatus according to this disclosure includes object temperature change measuring means for measuring a temperature change of a surface temperature of an object, and living body determination means for determining whether or not the object is a living body based on the temperature change.

公开(公告)号：US20220309397A1

公开(公告)日：2022-09-29

申请号：US17618045

申请日：2019-06-19

Applicant: NEC Corporation

Inventor： So YAMADA ,  Riki ETO ,  Junko WATANABE ,  Hiromi SHIMIZU ,  Hidetaka HANE ,  Shigeo KIMURA ,  Wataru FUJII ,  Tomoyuki KAWABE

IPC: G06N20/00 ,  G01N33/02

Abstract: To mitigate degradation in the accuracy of a prediction model by re-learning the prediction model with consideration given to the characteristics of a detection value of a sensor.
This prediction model re-learning device comprises: a calculation unit that, on the basis of data related to smell detection by a sensor, calculates an index for determining whether or not to re-learn a prediction model for smell; and a re-learning unit that re-learns the prediction model in cases where the calculated index satisfies a predetermined condition.