Multi-microphone method for estimation of target and noise spectral variances

A noise and variance technique used in the field of multi-microphones for estimating target and noise spectral variances to improve intelligibility

Inactive Publication Date: 2015-09-09
OTICON
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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Although this user problem is well known, there appear to be only a

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  • Multi-microphone method for estimation of target and noise spectral variances
  • Multi-microphone method for estimation of target and noise spectral variances
  • Multi-microphone method for estimation of target and noise spectral variances

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Embodiment Construction

[0115] Figure 1A schematically illustrates a plurality of acoustic pathways between sound sources and sound receivers located in a room, and Figure 1B is an exemplary plot of the amplitude |MAG| of a sound signal in a room versus time.

[0116] Figure 1A Schematically shows the direct propagation path p from an audio source S to a listener L in an exemplary venue (room). 0 and reflection propagation path p 1 ,p 2 ,p 3 ,p 4 acoustically propagated signal. The resulting acoustically propagated signal received by a listening device worn by a listener, eg via listener L, is the sum of five (possibly more, depending on the room) contributions of varying degrees of delay and attenuation (and possibly distortion). Direct transmission path p 0 and the early reflection propagation path (here a reflection p 1 )exist Figure 1A are indicated by dotted lines in , while the "late reflections" (here two, three and four reflections p 2 ,p 3 ,p 4 )exist Figure 1A Indicated w...

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Abstract

The application relates to an audio processing system and a method of processing a noisy (e.g. reverberant) signal comprising first (v) and optionally second (w) noise signal components and a target signal component (x), the method comprising a) Providing or receiving a time-frequency representation Y i (k,m) of a noisy audio signal y i at an i th input unit, i=1, 2, ..., M, where M‰¥2; b) Providing (e.g. predefined spatial) characteristics of said target signal component and said noise signal component(s); and c) Estimating spectral variances or scaled versions thereof » v, »x of said first noise signal component v (representing reverberation) and said target signal component x, respectively, said estimates of »v and »x being jointly optimal in maximum likelihood sense, based on the statistical assumptions that a) the time-frequency representations Y i (k,m), X i (k,m), and V i (k,m) (and W i (k,m) ) of respective signals y i (n), and signal components x i , and v i (and w i ) are zero-mean, complex-valued Gaussian distributed, b) that each of them are statistically independent across time m and frequency k, and c) that X i (k,m) and V i (k,m) (and W i (k,m)) are uncorrelated. An advantage of the invention is that it provides the basis for an improved intelligibility of an input speech signal. The invention may e.g. be used for hearing assistance devices, e.g. hearing aids.

Description

technical field [0001] The present application relates to an audio processing method and an audio processing system for estimating the spectral variance of corresponding target and noisy (eg reverberant) signal components in a noisy (eg reverberant) signal, and the use of the audio processing system. The present application also relates to a data processing system comprising a processor and program code causing the processor to carry out at least some of the steps of the inventive method. [0002] For example, implementations of the present invention may be used in applications such as hearing aids, headphones, headsets, active ear protection systems, hands-free phone systems, mobile phones, etc. or in teleconferencing systems, broadcasting systems, karaoke systems, etc. , Classroom amplification system and other systems. Background technique [0003] The following description of the prior art relates to one of the fields of application of the present application, hearing a...

Claims

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Application Information

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IPC IPC(8): H04R25/00
CPCG10L21/0208G10L2021/02166G10L2021/02082G10L21/0232H04R3/005H04R25/407H04R25/30H04R29/005
Inventor J·延森A·库拉辛斯基
Owner OTICON
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