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H. E.V., D. Sinha, S. Saeed, and A. Ferreira, "A Novel Automatic Noise Removal Technique for Audio and Speech Signals," Paper 7170, (2007 October.). doi: H. E.V., D. Sinha, S. Saeed, and A. Ferreira, "A Novel Automatic Noise Removal Technique for Audio and Speech Signals," Paper 7170, (2007 October.). doi:
Abstract: This paper introduces new ideas on wideband stationary/non-stationary noise removal for audio signals. Current noise reduction techniques have generally proven to be effective, yet these typically exhibit certain undesirable characteristics. Distortion and/or alteration of the audio characteristics of primary audio sound is a common problem. Also user intervention in identifying the noise profile is sometimes necessary. The proposed technique is centered on the classical Kalman filtering technique for noise removal but uses a novel architecture whereby advanced signal processing techniques are used to identify and preserve the richness of the audio spectrum. The paper also includes conceptual and derivative results on parameter estimation, a description of multi parameter Signal Activity Detector (SAD) and our new found improved results.

@article{e.v.2007a,
author={e.v., harinarayanan and sinha, deepen and saeed, shamail and ferreira, anibal},
journal={journal of the audio engineering society},
title={a novel automatic noise removal technique for audio and speech signals},
year={2007},
volume={},
number={},
pages={},
doi={},
month={october},} @article{e.v.2007a,
author={e.v., harinarayanan and sinha, deepen and saeed, shamail and ferreira, anibal},
journal={journal of the audio engineering society},
title={a novel automatic noise removal technique for audio and speech signals},
year={2007},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={this paper introduces new ideas on wideband stationary/non-stationary noise removal for audio signals. current noise reduction techniques have generally proven to be effective, yet these typically exhibit certain undesirable characteristics. distortion and/or alteration of the audio characteristics of primary audio sound is a common problem. also user intervention in identifying the noise profile is sometimes necessary. the proposed technique is centered on the classical kalman filtering technique for noise removal but uses a novel architecture whereby advanced signal processing techniques are used to identify and preserve the richness of the audio spectrum. the paper also includes conceptual and derivative results on parameter estimation, a description of multi parameter signal activity detector (sad) and our new found improved results.},}

TY - paper
TI - A Novel Automatic Noise Removal Technique for Audio and Speech Signals
SP - EP -
AU - E.V., Harinarayanan
AU - Sinha, Deepen
AU - Saeed, Shamail
AU - Ferreira, Anibal
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2007 TY - paper
TI - A Novel Automatic Noise Removal Technique for Audio and Speech Signals
SP - EP -
AU - E.V., Harinarayanan
AU - Sinha, Deepen
AU - Saeed, Shamail
AU - Ferreira, Anibal
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2007
AB - This paper introduces new ideas on wideband stationary/non-stationary noise removal for audio signals. Current noise reduction techniques have generally proven to be effective, yet these typically exhibit certain undesirable characteristics. Distortion and/or alteration of the audio characteristics of primary audio sound is a common problem. Also user intervention in identifying the noise profile is sometimes necessary. The proposed technique is centered on the classical Kalman filtering technique for noise removal but uses a novel architecture whereby advanced signal processing techniques are used to identify and preserve the richness of the audio spectrum. The paper also includes conceptual and derivative results on parameter estimation, a description of multi parameter Signal Activity Detector (SAD) and our new found improved results.