Noise suppression by spectral magnitude estimation —mechanism and theoretical limits—

Vary, Peter; Eurasip, Member

doi:10.1016/0165-1684(85)90002-7

Cited by 171 publications

(86 citation statements)

References 6 publications

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“…From a perceptual point of view, the information we get from the phase is insignificant compared to the information obtained from the speech spectral amplitude [22]. Thus, it seems more suitable to estimate the speech spectral amplitude instead of the complex spectrum.…”

Section: Optimal Nonlinear Estimatorsmentioning

confidence: 97%

A generalized estimation approach for linear and nonlinear microphone array post-filters

Lefkimmiatis

Maragos

2007

Speech Communication

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Section: Optimal Nonlinear Estimatorsmentioning

confidence: 97%

A generalized estimation approach for linear and nonlinear microphone array post-filters

Lefkimmiatis

Maragos

2007

Speech Communication

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“…However, it seems that this conclusion holds as long as local signal to noise ratio is at least about 6 dB [65]. Most single-microphone noise reduction techniques rely on the assumption of unimportance of phase.…”

Section: Single Microphone Techniquesmentioning

confidence: 97%

Innovative speech processing for mobile terminals: an annotated bibliography

et al. 2000

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This paper gives an overview of recent bibliographic references dealing with speech processing in mobile terminals. Its purpose is to point out state of the art issues in the area; thus a fairly large list of references taken from many conferences proceedings and journals is given and commented. General considerations about speech processing in mobile communications are "rstly introduced; then we deal with audio processing for speech enhancement in mobile terminals and with low bit-rate speech coding. Speech recognition is addressed with some accent put on mobile applications. A short overview of implementation aspects of speech processing algorithms in mobile terminals is also given. Finally, open issues and problems are listed.2000 Published by Elsevier Science B.V. All rights reserved. ZusammenfassungDiese Arbeit gibt einen U G berblick auf neue bibliogra"sche Referenzen, die sich mit der Sprachverarbeitung in mobilen Einheiuten beschaK ftigen. Unser Ziel ist es, den Stand der technischen VeroK !entlichungen auf diesem Gebiet zu ermitteln; somit ist eine recht lange Liste von Referenzen aus vielen Konferenzen und Zeitschiften und die zugehoK rigen Kommentare angegeben. Allgemeine U G berlegungen zur Sprachverarbeitung in der Mobilkommunikation werden als erstes angefuK hrt; anschlie{end behandeln wir Verfahren zur Spracheverbesserung in mobilen Systemen basierend auf niedrigen Bitraten. Bei der anschlieend behandelten Spracherkennung wird ein gewisser Schwerpunkt auf mobile Systeme gelegt. Ein kurzer U G berblick zum Implementierungsaspekt der Sparchverarbeitungsverfahren in mobilen EndgeraK ten ist ebenfalls angegeben. Schlielich werden o!ene Themen und Probleme aufgezeigt.2000 Published by Elsevier Science B.V. All rights reserved. Re2 sume2Cet article passe en revue la bibliographie reH cente concernant le traitement de la parole dans les terminaux mobiles. Son objectif est de mettre l'accent sur l'eH tat de l'art dans le domaine; en conseH quence une importante liste de reH feH rences recueillies dans des actes de congre`s et des revues est donneH e et commenteH e. En premier lieu, des consideH rations geH neH rales sur le traitement de la parole dans les communications mobiles sont preH senteH es; puis nous discutons de traitements de rehaussement de la parole dans les terminaux mobiles ainsi que du codage de la parole a`bas deH bits. La reconnaissance vocale est traiteH e avec un accent particulier mis sur les applications mobiles. L'implantation des algorithmes de traitement de la parole dans les terminaux mobiles est aussi brie`vement traiteH e. En"n, certaines questions et proble`mes ouverts sont citeH s.

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“…Previous studies shows that accurate spectral amplitude estimation plays a more important role than improving the phase spectrum in the sense of the perceived signal quality [9]. Furthermore, [10] showed that phase becomes important when phase deviation is larger than around π 4 , i.e. when the local signal-to-noise ratio is lower than 6 decibels, where roughness is perceived in the reconstructed signal.…”

Section: Figmentioning

confidence: 99%

On phase importance in parameter estimation in single-channel speech enhancement

Mowlaee

Saeidi

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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In this paper, we study the impact of exploiting the spectral phase information to further improve the speech quality of the single-channel speech enhancement algorithms. In particular, we focus on the two required steps in a typical single-channel speech enhancement system, namely: parameter estimation solved by a minimum mean square error (MMSE) estimator of the speech spectral amplitude, followed by signal reconstruction stage, where the observed noisy phase is often used. For the parameter estimation stage, in contrast to conventional Wiener filter, a new MMSE estimator is derived which takes into account the clean phase information as a prior information. In our experiments, we show that by including the phase information in the two steps, it is possible to improve the perceived signal quality of the enhanced signal significantly with respect to the methods that do not employ the phase information.Index Terms-Single-channel speech enhancement, phase prior, Wiener filter.

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Noise suppression by spectral magnitude estimation —mechanism and theoretical limits—

Cited by 171 publications

References 6 publications

A generalized estimation approach for linear and nonlinear microphone array post-filters

A generalized estimation approach for linear and nonlinear microphone array post-filters

Innovative speech processing for mobile terminals: an annotated bibliography

On phase importance in parameter estimation in single-channel speech enhancement

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