Method and device for removing noise by using deep learning algorithm
AssigneeMobilint Inc.
InventorJongjun Park
Life of this patent
Estimating the term…
Abstract
Disclosed is a method and device for canceling noise by using a deep learning algorithm. The method includes collecting a noise signal, obtaining a first sound signal, which is obtained by extracting only a voice signal from the collected noise signal, and ‘P’ being a probability value indicating that a human voice signal is included in the collected noise signal, through a deep learning algorithm, and on a basis of a value of the ‘P’, outputting the first sound signal or a second sound signal obtained by converting an overall volume of the collected noise signal. At this time, the second sound signal may be a sound signal, of which a reduction ratio of a volume is converted to be great as the volume corresponds to a great portion, from among the collected noise signal.
Claims13
A noise canceling method by using a deep learning algorithm performed by a noise canceling device, the method comprising:
- collecting a noise signal;
- through a deep learning algorithm, obtaining a first sound signal, which is obtained by extracting only a voice signal from the collected noise signal, and ‘P’ being a probability value indicating that a human voice signal is included in the collected noise signal;
- and
- on a basis of a value of the ‘P’, outputting the first sound signal or a second sound signal obtained by converting an overall volume of the collected noise signal,
- wherein the second sound signal is a sound signal, of which a reduction ratio of the overall volume is converted to be increased correspondingly to the overall volume of the collected noise signal.
A noise canceling device comprising:
- a signal input device configured to collect a noise signal;
- a processor configured to obtain a first sound signal, which is obtained by extracting only a voice signal from the collected noise signal, and ‘P’ being a probability value indicating that a human voice signal is included in the collected noise signal through a deep learning algorithm;
- and
- a signal output device configured to output the first sound signal or a second sound signal, which is obtained by converting an overall volume of the collected noise signal, based on a value of the ‘P’,
- wherein the second sound signal is a sound signal, of which a reduction ratio of the overall volume is converted to be increased correspondingly to the overall volume of the collected noise signal.
Dependencies are inferred from the claim text.