公开(公告)号：US20250136144A1

公开(公告)日：2025-05-01

申请号：US18499584

申请日：2023-11-01

Applicant: QUALCOMM Incorporated

Inventor： Seunghan YANG ,  Simyung CHANG ,  Minseop PARK ,  Jinkyu LEE

IPC: B60W60/00

Abstract: Various embodiments may include methods, systems, and devices enabling a vehicle equipped with a complex sensor system encompassing low-end sensors of the second class of vehicles to train a low-end self-driving system. Various embodiments may include a processing system of the vehicle training the low-end self-driving system based on differences between outputs of a low-end self-driving sensor processing model generated based on the low-end sensors to outputs of a complex sensor processing model of the vehicle based on the vehicles complex sensor system. At least a portion of the trained self-driving system for the second class of vehicles may be provided to a remote server for deployment in the second class of vehicles.

公开(公告)号：US20220101827A1

公开(公告)日：2022-03-31

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: G10L15/02 ,  G10L15/22

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：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.