Multi-microphone robust noise suppression
US-9438992-B2 · Sep 6, 2016 · US
US10657973B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10657973-B2 |
| Application number | US-201515516368-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 29, 2015 |
| Priority date | Oct 2, 2014 |
| Publication date | May 19, 2020 |
| Grant date | May 19, 2020 |
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A method including decomposing a magnitude part of a signal spectrum of a mixture signal into spectral components, each spectral component including a frequency part and a time activation part; and clustering the spectral components to obtain one or more clusters of spectral components, wherein the clustering of the spectral components is computed in the time domain.
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The invention claimed is: 1. A method, comprising: decomposing a magnitude part of a signal spectrum of a mixture signal into a plurality of spectral components, each spectral component of the plurality of spectral components comprising a frequency component and a time component; applying an inverse short-time Fourier transform (ISTFT) to the plurality of spectral components to generate a plurality of time components; and clustering the plurality of time components, in a time domain and based on an iterative algorithm, to obtain one or more clusters of time components, the iterative algorithm minimizing an energy of a compression error of estimated source signals. 2. The method of claim 1 , wherein the clustering comprises generating the one or more clusters of time components based on the spectral components. 3. The method of claim 1 , wherein the clustering the time components is based on a compressibility of estimated source signals. 4. The method of claim 1 , wherein the clustering the time components comprises minimizing the compression error of the estimated source signals. 5. The method of claim 1 , wherein the clustering the time components is based on minimizing the energy of an overall compression error according to e 2 = x 2 - 2 ∑ i = 1 M x T S ^ i ( S ^ i T S ^ i ) - 1 S ^ i T s ^ i + ∑ i = 1 M ∑ j = 1 M s ^ i T S ^ i ( S ^ i T S ^ i ) - 1 S ^ i T S ^ j ( S ^ j T S ^ j ) - 1 S ^ j T s ^ j .
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characterised by the type of parameter measurement, e.g. correlation techniques, zero crossing techniques or predictive techniques · CPC title
Voice signal separating · CPC title
Multichannel audio signal coding or decoding using interchannel correlation to reduce redundancy, e.g. joint-stereo, intensity-coding or matrixing · CPC title
Fourier transform; Discrete Fourier Transform [DFT]; Fast Fourier Transform [FFT] · CPC title
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