US 11,941,083 B2
Quantifying signal purity by means of machine learning
Ittai Barkai, Tel Aviv (IL); and Itamar Tamir, Tel Aviv (IL)
Assigned to NUVOTON TECHNOLOGY CORPORATION, Hsin-Chu (TW)
Filed by NUVOTON TECHNOLOGY CORPORATION, Hsin-chu (TW)
Filed on Nov. 4, 2021, as Appl. No. 17/518,616.
Prior Publication US 2023/0136698 A1, May 4, 2023
Int. Cl. G06F 18/214 (2023.01); G06N 20/00 (2019.01)
CPC G06F 18/2148 (2023.01) [G06N 20/00 (2019.01); G06F 2218/12 (2023.01)] 44 Claims
OG exemplary drawing
 
1. A system, comprising:
a memory configured to store a machine learning (ML) model; and
a processor, which is configured to:
obtain a set of training audio signals that are labeled with respective levels of distortion;
convert the training audio signals into respective images;
train the ML model to estimate the levels of the distortion based on the images;
receive an input audio signal;
convert the input audio signal into an image; and
estimate a level of the distortion in the input audio signal, by applying the trained ML model to the image.