公开(公告)号：US20220101063A1

公开(公告)日：2022-03-31

申请号：US17514840

申请日：2021-10-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Chun Pong CHAU ,  Mohamed S. ABDELFATTAH ,  Lukasz DUDZIAK ,  Royson LEE ,  Hyeji KIM ,  Nicholas Donald Atkins LANE

IPC: G06K9/62 ,  G06N3/02

Abstract: A method of predicting performance of a hardware arrangement or a neural network model includes: obtaining one or more of a first hardware arrangement or a first neural network model, obtaining a first graphical model comprising a first plurality of nodes corresponding to the obtained first hardware arrangement or the obtained first neural network model, wherein each node of the first plurality of nodes corresponds to a respective component or device of the first plurality of interconnected components or devices or a respective operation of the first plurality of operations; extracting, based on the first graphical model, a first graphical representation of the obtained first hardware arrangement or the obtained first neural network model; predicting, based on the first graphical representation, performance of the obtained first hardware arrangement or the obtained first neural network model; and outputting the predicted performance.

公开(公告)号：US20230298593A1

公开(公告)日：2023-09-21

申请号：US18322228

申请日：2023-05-23

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Alberto Gil RAMOS ,  Carlos PURVES ,  Abhinvav MEHROTRA ,  Sourav BHATTACHARYA ,  Ravichander VIPPERLA ,  Syed Samin ISHTIAQ ,  Nicholas Donald Atkins LANE

IPC: G10L17/20 ,  G10L17/04 ,  G10L17/18 ,  G10L21/0232 ,  G10L17/02

CPC classification number: G10L17/20 ,  G10L17/04 ,  G10L17/18 ,  G10L21/0232 ,  G10L17/02

Abstract: Broadly speaking, the present techniques generally relate to a system, computer-implemented method and apparatus for training a machine learning, ML, model to perform sound enhancement for a target user in real-time, and to a method and apparatus for using the trained ML model to perform sound enhancement of audio signals in real-time. Advantageously, the present techniques are suitable for implementation on resource-constrained devices that capture audio signals, such as smartphones and Internet of Things devices.