公开(公告)号：US20210056974A1

公开(公告)日：2021-02-25

申请号：US16547263

申请日：2019-08-21

Applicant: QUALCOMM Incorporated

Inventor： Byeonggeun KIM ,  Young Mo KANG ,  Sungrack YUN ,  Kyu Woong HWANG ,  Hye Jin JANG

IPC: G10L17/00

Abstract: A device to process an audio signal representing input sound includes a user voice verifier configured to generate a first indication based on whether the audio signal represents a user's voice. The device includes a speaking target detector configured to generate a second indication based on whether the audio signal represents at least one of a command or a question. The device includes an activation signal unit configured to selectively generate an activation signal based on the first indication and the second indication. The device also includes an automatic speech recognition engine configured to be activated, responsive to the activation signal, to process the audio signal.

公开(公告)号：US20200372906A1

公开(公告)日：2020-11-26

申请号：US16418783

申请日：2019-05-21

Applicant: QUALCOMM Incorporated

Inventor： Hye Jin JANG ,  Sungrack YUN ,  Kyu Woong HWANG

IPC: G10L15/22 ,  G10L15/30 ,  G06F3/16

Abstract: A device includes a screen and one or more processors configured to provide, at the screen, a graphical user interface (GUI) configured to display data associated with multiple devices on the screen. The GUI is also configured to illustrate a label and at least one control input for each device of the multiple devices. The GUI is also configured to provide feedback to a user. The feedback indicates that a verbal command is not recognized with an action to be performed. The GUI is also configured to provide instructions for the user on how to teach the one or more processors which action is to be performed in response to receiving the verbal command.

公开(公告)号：US20210005183A1

公开(公告)日：2021-01-07

申请号：US16920519

申请日：2020-07-03

Applicant: QUALCOMM Incorporated

Inventor： Mingu LEE ,  Jinkyu LEE ,  Hye Jin JANG ,  Kyu Woong HWANG

IPC: G10L15/16 ,  G06N3/04 ,  G06N3/08

Abstract: A method for operating a neural network includes receiving an input sequence at an encoder. The input sequence is encoded to produce a set of hidden representations. Attention-heads of the neural network calculate attention weights based on the hidden representations. A context vector is calculated for each attention-head based on the attention weights and the hidden representations. Each of the context vectors correspond to a portion of the input sequence. An inference is output based on the context vectors.

公开(公告)号：US20210304734A1

公开(公告)日：2021-09-30

申请号：US16830029

申请日：2020-03-25

Applicant: Qualcomm Incorporated

Inventor： Young Mo KANG ,  Sungrack YUN ,  Kyu Woong HWANG ,  Hye Jin JANG ,  Byeonggeun KIM

IPC: G10L15/08 ,  G10L15/32 ,  G10L15/26 ,  G06F15/78

Abstract: In one embodiment, an electronic device includes an input device configured to provide an input stream, a first processing device, and a second processing device. The first processing device is configured to use a keyword-detection model to determine if the input stream comprises a keyword, wake up the second processing device in response to determining that a segment of the input stream comprises the keyword, and modify the keyword-detection model in response to a training input received from the second processing device. The second processing device is configured to use a first neural network to determine whether the segment of the input stream comprises the keyword and provide the training input to the first processing device in response to determining that the segment of the input stream does not comprise the keyword.

公开(公告)号：US20200321022A1

公开(公告)日：2020-10-08

申请号：US16657552

申请日：2019-10-18

Applicant: QUALCOMM Incorporated

Inventor： Hye Jin JANG ,  Kyu Woong HWANG ,  Sungrack YUN ,  Janghoon CHO

IPC: G10L25/87 ,  G10L15/16 ,  G10L15/22

Abstract: A device to perform end-of-utterance detection includes a speaker vector extractor configured to receive a frame of an audio signal and to generate a speaker vector that corresponds to the frame. The device also includes an end-of-utterance detector configured to process the speaker vector and to generate an indicator that indicates whether the frame corresponds to an end of an utterance of a particular speaker.