Background noise suppression for acoustic localization by means of an adaptive energy detection approach
Citations
10 citations
Cites background or methods from "Background noise suppression for ac..."
...The estimation of R ninj (τ) for each microphone pair is achieved during phases of no activity of the sound source, which are detected by using the energy detector, both described in detail in [6]....
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...This is the reason why even in scenarios without any background noise, the mislocalization rate is very high [6]....
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...If we assume that the noise is fully correlated and we have an ideal room with a Dirac impulse response, we can easily achieve a noise free estimation of the correlation in a given microphone pair by subtracting the correlation of the noise from the correlation of the received signal, analogously to the background noise suppression, presented in [6]:...
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...While the localization of non-impulsive sound sources following the approach in [6] showed very stable results, impulsive sound sources were not localized reliably....
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...For non-impulsive sound sources like speech or a mixer, on which we concentrated in the past [6], this setup delivers high correct localization rates of over 95% with a relatively small root mean square error (RMS), under both conditions, i....
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5 citations
Cites methods from "Background noise suppression for ac..."
...A noise reduction method steered response power phase transform (SRP-PHAT) using a microphone array has also been proposed [17]....
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3 citations
Cites methods from "Background noise suppression for ac..."
...proposed a noise reduction method using a microphone array [6]....
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2 citations
Cites methods from "Background noise suppression for ac..."
...In this work, a simple energy detector (ED) test given in (3) is used to distinguish between the background noise and the novel events that are to be classified [6]: yT y σ2w H1 > H0 λ, (3) where σ2w is the noise variance and y is the observation vector supposing uncorrelated samples....
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1 citations
Cites methods from "Background noise suppression for ac..."
...To evaluate both the performance of this combined technique and the improvement introduced in the localization phase (in comparison to the case without background noise suppression), two recording sets were tested in a kitchen scenario where people and a robot interact [59]....
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...Several experiments were subsequently conducted; the resulting modi ed localization algorithm was evaluated and revealed considerable improvements [59]....
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...In order to counteract this e ect, a novel approach is used: it implements a background noise suppression algorithm based on the ED to improve the localization method SRP-PHAT, as described in [59]....
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References
14,342 citations
"Background noise suppression for ac..." refers background in this paper
...Index Terms— energy detector, background noise suppression, SRP-PHAT, acoustic localization....
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...In this case several active sound sources can exist in the robots proximity, for example in a kitchen, which contains many different appliances that can be acoustically observed....
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4,317 citations
"Background noise suppression for ac..." refers background in this paper
...By using the energy detector it is possible to distinguish between a stationary background noise source and another active source....
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1,457 citations
"Background noise suppression for ac..." refers background in this paper
...Index Terms— energy detector, background noise suppression, SRP-PHAT, acoustic localization....
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649 citations
"Background noise suppression for ac..." refers methods in this paper
...When a desired sound source is detected the mean of the last H SRP-PHAT computations of the noise, stored in the buffer, is computed and subtracted from the current SRP-PHAT estimation in the fol- lowing way: P (BNS)(t, s) = P (t, s) − 1 H H∑ i=1 B(i, s), (10) where the resulting Power-Field P…...
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