Method of determining uncertainty associated with acoustic distortion-based noise reduction
AssigneeMicrosoft Corporation
InventorsLi Deng, Alejandro Acero, James G. Droppo
Life of this patent
Estimating the term…
Abstract
A method and apparatus are provided for determining uncertainty in noise reduction based on a parametric model of speech distortion. The method is first used to reduce noise in a noisy signal. In particular, noise is reduced from a representation of a portion of a noisy signal to produce a representation of a cleaned signal by utilizing an acoustic environment model. The uncertainty associated with the noise reduction process is then computed. In one embodiment, the uncertainty of the noise reduction process is used, in conjunction with the noise-reduced signal, to decode a pattern state.
Claims16
A method of reducing noise in a noisy signal, the method comprising:
- reducing noise in a representation of a portion of the noisy signal to produce a representation of a portion of a noise-reduced signal using an acoustic-environment model;
- and
- identifying an uncertainty associated with reducing the noise.
A computer-readable medium having computer-executable instructions for performing steps comprising:
- converting a frame of a noisy signal into a feature vector comprising at least two components;
- reducing noise in a component of the feature vector for the noisy signal to produce a component of a feature vector for a cleaned signal by utilizing an acoustic distortion model;
- and
- identifying an uncertainty associated with reducing the noise from the component.
Dependencies are inferred from the claim text.