Application of adaptive noise cancelling to diver voice communications

Dunlop, J.; Al-Kindi, Manal J.; Virr, L.

doi:10.1109/icassp.1987.1169510

Cited by 11 publications

(5 citation statements)

References 4 publications

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“…ANR can be used in communications system earpieces to reduce the background noise transmitted by diver communication systems, in order to reduce overall noise levels generated during use of communications. This method has been successfully implemented to improve the intelligibility and noise reduction of aircrew communications headsets [66] [67]. ANR inside diving helmets to reduce environmental noise has been suggested to avoid the need for earplugs, an approach that has also been adopted in prototype helmet-integrated ANR systems for aircrew [68].…”

Section: Active Noise Reduction (Anr)mentioning

confidence: 99%

Review of diver noise exposure

Anthony¹,

Wright²,

Evans³

2010

uw tech: int j soc uw tech

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Divers are exposed to high levels of noise from a variety of sources both above and below water. The noise exposure should comply with 'The Control of Noise at Work Regulations 2005' (CoNaWR05). A detailed review of diver noise exposure is presented encompassing diver hearing, noise sources, exposure levels and control measures. Divers are routinely exposed to a range of noise sources of sufficiently high intensity to cause auditory damage and audiometric studies indicate that diver hearing is impaired by exposure to factors associated with diving. Human hearing underwater, in cases where the diver's ear is wet, is less sensitive than in air and should be assessed using an underwater-weighting scale. Manufacturers of diving equipment and employers of divers have a joint responsibility to ensure compliance with the exposure values in the CoNaWR05, although noise is only one hazard to a diver, and a balanced risk assessment must be applied to the whole diving operation. A diver noise reduction strategy is proposed and a health surveillance programme, involving audiometric tests for divers, should be established. This report and the work it describes were funded by the Health and Safety Executive (HSE). Its contents, including any opinions and/or conclusions expressed, are those of the authors alone and do not necessarily reflect HSE policy. HSE Books

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Section: Active Noise Reduction (Anr)mentioning

confidence: 99%

Review of diver noise exposure

Anthony¹,

Wright²,

Evans³

2010

uw tech: int j soc uw tech

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“…The th filter coefficient of the adaptive filter is updated by (9) where is the number of taps for the adaptive filter. Thanks to the step-size adaptation, this algorithm can achieve fast convergence.…”

Section: Adaptive Noise Cancellationmentioning

confidence: 99%

An adaptive noise canceller with low signal distortion for speech codecs

Ikeda

Sugiyama²

1999

IEEE Trans. Signal Process.

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This paper proposes an adaptive noise canceller (ANC) with low signal distortion for speech codecs. The proposed ANC has two adaptive filters: a main filter (MF) and a subfilter (SF). The signal-to-noise ratio (SNR) of input signals is estimated using the SF. To reduce signal distortion in the output signal of the ANC, a step size for coefficient update in the MF is controlled according to the estimated SNR. Computer simulation results using speech and diesel engine noise recorded in a special-purpose vehicle show that the proposed ANC reduces signal distortion in the output signal by up to 15 dB compared with a conventional ANC. Results of subjective listening tests show that the mean opinion scores (MOS's) for the proposed ANC with and without a speech codec are one point higher than the scores for the conventional ANC.

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“…Many structures have been discussed to overcome these limitations. Among these are the two stage adaptive noise canceller structure [3] and cross-coupled structure [2]. One of the main drawbacks of the two-stage adaptive noise canceller is that structure is restricted to the cases where the signal to be cleaned is intermittent.…”

Section: Introductionmentioning

confidence: 99%

Separation and Equalization of Cross-Coupled Signals by Adaptive Cancellation

Al-Kindi¹

2010

IJACT

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This paper describes an adaptive noise cancellation structure suitable for the separation and equalization of signals that coupled due to the approximate placing of primary and auxiliary transducers, with no distinction between the inputs of being both signals or signal and noise. This structure is based on cross-coupled LMS delay line cancellers for signals enhancements and two other LMS delay line equalizers that equalize the signals against channel distortions result due to placing the two observation sensors far enough (or via barriers) from the signals sources. The structure is configured with a topology that looks like the mirror image of the symmetric cross-coupling of the input signals. This structure is shown, under certain circumstances, to estimate either source signal, or both, with low distortion when the transmission paths between primary and secondary sensors have low attenuation and the primary signal is continuous. An enhanced performance would be achieved when the primary signal is intermittent and a signal energy detector is used. The main issues of the problem involved in this paper are the analysis of the structure topology, system stability and convergence of the adaptive elements transfer functions to solution(s) that ensures the signals separation and equalization by adaptive estimation algorithm.

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Application of adaptive noise cancelling to diver voice communications

Cited by 11 publications

References 4 publications

Review of diver noise exposure

Review of diver noise exposure

An adaptive noise canceller with low signal distortion for speech codecs

Separation and Equalization of Cross-Coupled Signals by Adaptive Cancellation

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