公开(公告)号：US11908457B2

公开(公告)日：2024-02-20

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 ,  G06N3/08 ,  G06N3/044 ,  G10L15/08

CPC classification number: G10L15/16 ,  G06N3/044 ,  G06N3/08 ,  G10L2015/088

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：US12039968B2

公开(公告)日：2024-07-16

申请号：US17038887

申请日：2020-09-30

Applicant: QUALCOMM Incorporated

Inventor： Wonil Chang ,  Jinseok Lee ,  Mingu Lee ,  Jinkyu Lee ,  Byeonggeun Kim ,  Dooyong Sung ,  Jae-Won Choi ,  Kyu Woong Hwang

IPC: G10L15/00 ,  G10L15/02 ,  G10L15/22 ,  G10L15/08

CPC classification number: G10L15/02 ,  G10L15/22 ,  G10L15/08

Abstract: System and method for operating an always-on ASR (automatic speech recognition) system by selecting target keywords and continuously detecting the selected target keywords in voice commands in a mobile device are provided. In the mobile device, a processor is configured to collect keyword candidates, collect usage frequency data for keywords in the keyword candidates, collect situational usage frequency data for the keywords in the keyword candidates, select target keywords from the keyword candidates based on the usage frequency data and the situational usage frequency data, and detect one or more of the target keywords in a voice command using continuous detection of the target keywords.

公开(公告)号：US12229192B2

公开(公告)日：2025-02-18

申请号：US18538965

申请日：2023-12-13

Applicant: QUALCOMM Incorporated

Inventor： Christopher Lott ,  Mingu Lee ,  Wonseok Jeon ,  Roland Memisevic

IPC: G06F16/901 ,  G06F40/284

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for generating a response to a query input in a generative artificial intelligence model. An example method generally includes receiving a plurality of sets of tokens generated based on an input prompt and a first generative artificial intelligence model, each set of tokens in the plurality of sets of tokens corresponding to a candidate response to the input prompt; selecting, using a second generative artificial intelligence model and recursive adjustment of a target distribution associated with the received plurality of sets of tokens, a set of tokens from the plurality of sets of tokens; and outputting the selected set of tokens as a response to the input prompt.

公开(公告)号：US12148228B2

公开(公告)日：2024-11-19

申请号：US17274602

申请日：2019-10-08

Applicant: QUALCOMM Incorporated

Inventor： Mingu Lee ,  Wonil Chang ,  Yeonseok Kim ,  Kyu Woong Hwang ,  Yin Huang ,  Ruowei Wang ,  Haijun Zhao ,  Janghoon Cho

IPC: G06V20/59 ,  G01C21/36 ,  G06N3/02 ,  G06N7/01 ,  G06V10/764

Abstract: Certain aspects of the present disclosure are generally directed to apparatus and techniques for event state detection. One example method generally includes receiving a plurality of sensor signals at a computing device, determining, at the computing device, probabilities of sub-event states based on the plurality of sensor signals using an artificial neural network for each of a plurality of time intervals, and detecting, at the computing device, the event state based on the probabilities of the sub-event states via a state sequence model.