公开(公告)号：US20230048330A1

公开(公告)日：2023-02-16

申请号：US17976339

申请日：2022-10-28

Applicant: Huawei Technologies Co., Ltd.

Inventor： Youjia Huang ,  Weiran Nie ,  Yi Gao

IPC: G10L15/22 ,  G10L15/08 ,  B60R16/037 ,  G06F3/01

Abstract: An in-vehicle speech interaction method and a device are provided. The method includes: obtaining user speech information; determining a user instruction based on the user speech information; determining, based on the user instruction, whether response content to the user instruction is privacy-related; and determining, based on whether the response content is privacy-related, whether to output the response content in a privacy protection mode, to protect privacy from being leaked.

公开(公告)号：US12087289B2

公开(公告)日：2024-09-10

申请号：US17539005

申请日：2021-11-30

Applicant: HUAWEI TECHNOLOGIES CO.,LTD.

Inventor： Weiran Nie ,  Fuliang Weng ,  Youjia Huang ,  Hai Yu ,  Shumang Hu

IPC: G10L15/18 ,  G10L15/187 ,  G10L15/22 ,  G10L15/06 ,  G10L15/065 ,  G10L15/07 ,  G10L15/08

CPC classification number: G10L15/1822 ,  G10L15/18 ,  G10L15/187 ,  G10L15/22 ,  G10L15/063 ,  G10L15/065 ,  G10L15/07 ,  G10L2015/088

Abstract: A speech recognition method, apparatus, and device, and a computer-readable storage medium provided pertain to the field of artificial intelligence technologies. The method includes: obtaining or generating a dynamic target language model based on reply information of a first intent, where the dynamic target language model includes a front-end part and a core part; obtaining a speech signal, parsing the speech signal to generate a key word; and invoking the dynamic target language model to determine a second intent and a service content. The front-end part of the dynamic target language model parses out the second intent based on the key word, and the core part of the dynamic target language model parses out the service content based on the key word. The speech recognition method prevents a provided service content from deviating from a user requirement and achieves a good recognition effect.

公开(公告)号：US20220310095A1

公开(公告)日：2022-09-29

申请号：US17838500

申请日：2022-06-13

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yi Gao ,  Weiran Nie ,  Youjia Huang

IPC: G10L15/25 ,  G10L15/05 ,  G10L15/26 ,  G06V10/82 ,  G06V40/16

Abstract: A speech detection method includes performing recognition on a photographed face image using a model to predict whether a user intends to continue speaking, and to determine whether a collected audio signal is a speech end point with reference to a prediction result.

公开(公告)号：US12094468B2

公开(公告)日：2024-09-17

申请号：US17838500

申请日：2022-06-13

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yi Gao ,  Weiran Nie ,  Youjia Huang

IPC: G10L15/25 ,  G06V10/82 ,  G06V40/16 ,  G10L15/05 ,  G10L15/26

CPC classification number: G10L15/25 ,  G06V10/82 ,  G06V40/172 ,  G10L15/05 ,  G10L15/26

Abstract: A speech detection method includes performing recognition on a photographed face image using a model to predict whether a user intends to continue speaking, and to determine whether a collected audio signal is a speech end point with reference to a prediction result.

公开(公告)号：US20220093087A1

公开(公告)日：2022-03-24

申请号：US17539005

申请日：2021-11-30

Applicant: HUAWEI TECHNOLOGIES CO.,LTD.

Inventor： Weiran Nie ,  Fuliang Weng ,  Youjia Huang ,  Hai Yu ,  Shumang Hu

IPC: G10L15/18 ,  G10L15/187

Abstract: A speech recognition method, apparatus, and device, and a computer-readable storage medium provided pertain to the field of artificial intelligence technologies. The method includes: obtaining or generating a dynamic target language model based on reply information of a first intent, where the dynamic target language model includes a front-end part and a core part; obtaining a speech signal, parsing the speech signal to generate a key word; and invoking the dynamic target language model to determine a second intent and a service content. The front-end part of the dynamic target language model parses out the second intent based on the key word, and the core part of the dynamic target language model parses out the service content based on the key word. The speech recognition method prevents a provided service content from deviating from a user requirement and achieves a good recognition effect.