Method and device for reconstructing a target signal from a noisy input signal

A technology of input signal and target signal, applied in voice analysis, instruments, etc., can solve the problem of expensive calculation

Active Publication Date: 2015-06-03
HUAWEI TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, NMF involves matrix multiplication and thus is computationally expensive

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  • Method and device for reconstructing a target signal from a noisy input signal
  • Method and device for reconstructing a target signal from a noisy input signal
  • Method and device for reconstructing a target signal from a noisy input signal

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Embodiment Construction

[0088] image 3 A schematic diagram of a system 300 for reconstructing at least one target signal from a noise-corrupted input signal according to an embodiment is shown.

[0089] System 300 includes short-term transform module 310 , background noise estimator 320 , two buffers 330 and 340 , FNMF module 350 and reconstruction module 360 ​​. A digital single-channel input signal 301, corresponding to a recording of a signal of interest, such as speech corrupted by noise, is input into a short-term transformation module 310, which performs windowing and transformation into short-term time frames in order to generate non-negative features Vector 311. Buffer 330 stores these features to generate matrix V331.

[0090] The features 311 are also processed by a background noise estimator 320 which outputs an estimate of the background acoustic noise for each feature vector. Buffer 340 stores these estimates to create matrix B341. The FNMF module 350 then performs a decomposition o...

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Abstract

Method and device for reconstructing a target signal from a noisy input signal The invention relates to a method (300) for reconstructing at least one target signal (361) from an input signal (301) corrupted by noise, the method (300) comprising: determining (310) a first set of feature vectors (311) from the input signal (301), the first set of feature vectors (311) forming anon-negative input matrix (V, 331) representing signal characteristics of the input signal (301); determining (320) a second set of feature vectors from the first set of feature vectors (311), the second set of feature vectors forming a non-negative noise matrix (B, 341) representing noise characteristics of the input signal (301); decomposing (350) the input matrix (V, 331) into a sum of a first matrix and a second matrix, the first matrix representing a product of a non-negative bases matrix (W, 351) and a non-negative weight matrix (H, 352), and the second matrix representing a combination of the noise matrix (B, 341) and a noise weight vector (hb, 353); and reconstructing (360) the at least one target signal (361) based on the non-negative bases matrix (W, 351) and the non-negative weight matrix (H, 352).

Description

Background technique [0001] The invention relates to a method and a device for reconstructing a target signal from a noisy input signal. In particular, the invention relates to processing an acoustic input signal to provide a noise-reduced output signal. [0002] Acoustic noise reduction is important in different fields, especially for voice communication. Noise suppression in telephone communications is beneficial, for example, if the telephone system is used in a noisy environment such as a cab or on the street. Noise reduction is critical in hands-free phone systems where the noise level is usually high due to the distance between the microphone and the speaker. In addition, speech recognition systems, in which devices or services are controlled by voice commands, suffer from reduced recognition rates when operating in noisy environments. Therefore, to increase the reliability of such systems, it is also useful to reduce the noise level. [0003] Noise suppression in sp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0232
CPCG10L21/0232G10L21/0216G10L21/0208
Inventor 西里尔·乔德费利克斯·威宁格比约恩·舒勒大卫·维雷特
Owner HUAWEI TECH CO LTD
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