Noise reduction method and system
OwnerYoun-Hwan Kim, Chun-Mo Kanginventors
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Abstract
Disclosed is a noise reduction system comprising: a speech separator for receiving environmental noise to generate virtual noise, and subtracting the virtual noise from an externally input sound source to generate virtual speech; a digital filter for using a weight coefficient to filter the virtual noise and generate filtered speech; a subtracter for subtracting the filtered speech generated by the digital filter from the virtual speech to calculate an error; and a weight coefficient generator for using the error and the virtual speech to update the weight coefficient so as to reduce the error. Here, the weight coefficient generator updates weight coefficients in real-time using the steepest descent method so as to minimize a mean square value of the error.
Claims12
A noise reduction system comprising:
- a speech separator for receiving environmental noise to generate virtual noise, and subtracting the virtual noise from an externally input sound source to generate virtual speech;
- a digital filter for using a weight coefficient to filter the virtual noise and generate filtered speech;
- a subtracter for subtracting the filtered speech generated by the digital filter from the virtual speech to calculate an error;
- and
- a weight coefficient generator for using the error and the virtual speech to update the weight coefficient so as to reduce the error.
A noise reduction method comprising:
- (a) externally receiving noise to generate virtual noise;
- (b) filtering the virtual noise by using a weight coefficient to generate filtered speech;
- (c) calculating a difference between virtual speech generated by removing the virtual noise from externally input speech and the filtered speech to generate an error;
- and
- (d) updating the weight coefficient using the error and the virtual noise.
Dependencies are inferred from the claim text.