公开(公告)号：US20230100259A1

公开(公告)日：2023-03-30

申请号：US17951585

申请日：2022-09-23

Applicant: Samsung Electronics Co., Ltd.

Inventor： Kai WANG ,  Xiaolei ZHANG ,  Miao ZHANG

IPC: G10L15/02 ,  G10L25/78 ,  G10L25/51 ,  G10L25/30

Abstract: A processor-implemented method includes: extracting a target speaker voice feature based on an input voice of a target speaker; determining an utterance scenario of the input voice based on the target speaker voice feature; generating a final target speaker voice feature based on the determined utterance scenario; and determining whether the target speaker corresponds to a user based on the final target speaker voice feature and a final user voice feature, wherein the determined utterance scenario comprises either one of a single-speaker scenario and a multiple-speaker scenario.

公开(公告)号：US20250139422A1

公开(公告)日：2025-05-01

申请号：US18919294

申请日：2024-10-17

Applicant: Samsung Electronics Co., Ltd.

Inventor： Shanshan LV ,  Jonghoon YOON ,  Byung In YOO ,  Changyong SON ,  Sung-Jae CHO ,  Yunhao ZHANG ,  Zhenxin YANG ,  Miao ZHANG

IPC: G06N3/0495

Abstract: A method performed by one or more processors includes: iteratively training layer-specific quantization levels and layer-specific quantization intervals of respective layers of a neural network of original weights by, for each training iteration, adjusting the quantization levels and quantization intervals to reduce a loss that is determined based on the original weights and is determined based on the original weights as quantized according to the quantization levels and quantization intervals at a current iteration of the training.