公开(公告)号：US20220405547A1

公开(公告)日：2022-12-22

申请号：US17807479

申请日：2022-06-17

Applicant: QUALCOMM Incorporated

Inventor： Byeonggeun KIM ,  Simyung Chang ,  Jangho Kim ,  Seunghan Yang ,  Kyu Woong Hwang

IPC: G06N3/04 ,  G06K9/62

Abstract: Certain aspects of the present disclosure provide techniques for residual normalization. A first tensor comprising a frequency dimension and a temporal dimension is accessed. A second tensor is generated by applying a frequency-based instance normalization operation to the first tensor, comprising, for each respective frequency bin in the frequency dimension, computing a respective frequency-specific mean of the first tensor. A third tensor is generated by: scaling the first tensor by a scale value, and aggregating the scaled first tensor and the second tensor. The third tensor is provided as input to a layer of a neural network.