Method and apparatus for estimating spectrum density of diffused noise
AssigneeSamsung Electronics Co., Ltd.
InventorsJun-il Sohn, Yun-seo Ku, Dong-wook Kim
Life of this patent
Estimating the term…
Abstract
Provided are a method for estimating a spectrum density of diffused noises. Also provided is a processor for implementing the method. The processor includes at least two sound receiving units and a spectrum density estimating unit for estimating spectrum density.
Claims15
A processor device comprising:
- at least two sound receiving units configured to receive sounds;
- a correlation estimating unit configured to estimate a correlation between diffused noises included in the sounds received by the at least two sound receiving units;
- and
- a spectrum density estimating unit configured to estimate a spectrum density with respect to the diffused noises based on the estimated correlation, wherein the spectrum density estimating unit comprises:
- an eigenvalue estimating unit configured to estimate an eigenvalue of a covariance matrix based on the sound received by the at least two sound receiving units;
- and
- a low frequency band compensating unit configured to compensate a low frequency band of spectrum density with respect to the diffused noises based on the estimated eigenvalue and the estimated correlation.
A sound reproducing device comprising:
- a processor device configured to
- receive sounds using at least two sound receiving units,
- estimate a spectrum density with respect to diffused noises included in the received sounds in consideration of a correlation between the diffused noises, wherein estimating the spectrum density with respect to the diffused noises comprises estimating an eigenvalue of a covariance matrix using the sounds received by the at least two sound receiving units, and compensating a low frequency band of spectrum density with respect to the diffused noises based on the estimated eigenvalue and the estimated correlation, and
- remove the diffused noises included in the received sounds based on the estimated spectrum density;
- an amplifying unit configured to amplify signals representative of sounds from which the diffused noises are removed;
- and
- an output unit configured to output the amplified sounds.
A method for estimating spectrum density of diffused noises, comprising:
- receiving sounds using at least two sound receiving units of a processor device;
- estimating, using the processor device, a correlation between diffused noises included in the sounds received by the two sound receiving units;
- and
- estimating, using the processor device, a spectrum density with respect to the diffused noises based on the estimated correlation, wherein estimating the spectrum density with respect to the diffused noises comprises:
- estimating an eigenvalue of a covariance matrix using the sounds received by the at least two sound receiving units;
- and
- compensating a low frequency band of spectrum density with respect to the diffused noises based on the estimated eigenvalue and the estimated correlation.
A non-transitory computer-readable storage medium having stored therein program instructions configured to cause a computer to execute a method for estimating spectrum density of diffused noises using a processor device that has at least two sound receiving units, the method comprising:
- receiving sounds using the at least two sound receiving units;
- estimating, using a processor device, a correlation between diffused noises included in the sounds received by the two sound receiving units;
- and
- estimating, using the processor device, a spectrum density with respect to the diffused noises based on the estimated correlation, wherein estimating the spectrum density with respect to the diffused noises comprises:
- estimating an eigenvalue of a covariance matrix using the sounds received by the at least two sound receiving units;
- and
- compensating a low frequency band of spectrum density with respect to the diffused noises based on the estimated eigenvalue and the estimated correlation.
Dependencies are inferred from the claim text.