Journal ArticleDOI
Acoustic noise analysis and speech enhancement techniques for mobile radio applications
Neviano Dal Degan,Claudio Prati +1 more
TLDR
In this article, the authors examined speech enhancement techniques to be applied in a mobile radio environment and compared the performance of a noise-cancelling microphone approach and signal processing methods.About:
This article is published in Signal Processing.The article was published on 1988-07-01. It has received 79 citations till now. The article focuses on the topics: Noise & Background noise.read more
Citations
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Journal ArticleDOI
Signal enhancement using beamforming and nonstationarity with applications to speech
TL;DR: This paper considers a sensor array located in an enclosure, where arbitrary transfer functions (TFs) relate the source signal and the sensors, and derives a suboptimal algorithm that can be implemented by estimating theTFs ratios, instead of estimating the TFs.
Journal ArticleDOI
Reduction of broad-band noise in speech by truncated QSVD
TL;DR: An algorithm for reduction of broadband noise in speech based on signal subspaces is considered by means of the quotient singular value decomposition (QSVD), and a prewhitening operation becomes an integral part of the algorithm.
Journal ArticleDOI
Speech recognition in adverse environments
TL;DR: This paper reviews several promising methods that were proposed in the past few years to deal with the problem of automatic speech recognition in an adverse environment, discussing methods or algorithms in six categories: signal enhancement preprocessing; special transducer arrangements; noise masking; stress compensation; robust distortion measures; and novel speech representations.
Journal ArticleDOI
Generating sensor signals in isotropic noise fields.
TL;DR: Algorithms that generate sensor signals of an arbitrary one- and three-dimensional array that result from a spherically or cylindrically isotropic noise field are developed and the influence of the number of noise sources on the accuracy of the generated sensor signals is investigated.
Journal ArticleDOI
Speech enhancement based on the general transfer function GSC and postfiltering
Sharon Gannot,Israel Cohen +1 more
TL;DR: This work proposes three postfiltering methods for improving the performance of microphone arrays based on single-channel speech enhancers and making use of recently proposed algorithms concatenated to the beamformer output, and a multichannel speech enhancer which exploits noise-only components constructed within the TF-GSC structure.
References
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Journal ArticleDOI
Suppression of acoustic noise in speech using spectral subtraction
TL;DR: A stand-alone noise suppression algorithm that resynthesizes a speech waveform and can be used as a pre-processor to narrow-band voice communications systems, speech recognition systems, or speaker authentication systems.
Journal ArticleDOI
Adaptive noise cancelling: Principles and applications
Bernard Widrow,J.R. Glover,John M. McCool,J. Kaunitz,C.S. Williams,R.H. Hearn,James R. Zeidler,Jr. Eugene Dong,R.C. Goodlin +8 more
TL;DR: It is shown that in treating periodic interference the adaptive noise canceller acts as a notch filter with narrow bandwidth, infinite null, and the capability of tracking the exact frequency of the interference; in this case the canceller behaves as a linear, time-invariant system, with the adaptive filter converging on a dynamic rather than a static solution.
Journal ArticleDOI
Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator
Yariv Ephraim,David Malah +1 more
TL;DR: In this article, a system which utilizes a minimum mean square error (MMSE) estimator is proposed and then compared with other widely used systems which are based on Wiener filtering and the "spectral subtraction" algorithm.
Book
Linear Prediction of Speech
John E. Markel,A. Gray +1 more
TL;DR: Speech Analysis and Synthesis Models: Basic Physical Principles, Speech Synthesis Structures, and Considerations in Choice of Analysis.
Journal ArticleDOI
Speech enhancement using a soft-decision noise suppression filter
R. McAulay,M. Malpass +1 more
TL;DR: In this paper, a spectral decomposition of a frame of noisy speech is used to attenuate a particular spectral line depending on how much the measured speech plus noise power exceeds an estimate of the background noise.
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Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator
Yariv Ephraim,David Malah +1 more