نتایج جستجو برای: speech enhancement

تعداد نتایج: 241110  

2016
Ancy S. Anselam Sakuntala S. Pillai

The role of speech coding is to reduce the bit rate by maintaining good speech quality. In order to improve the perceptual quality of degraded speech, different speech enhancement methods can be used. So, it is worthwhile to do research in joint systems (Speech Enhancement and Low bit rate speech coders). The work reported in this paper shows the improvement in the perceptual quality of speech ...

Journal: :EURASIP J. Adv. Sig. Proc. 2005
Karsten Vandborg Sørensen Søren Vang Andersen

We propose time-frequency domain methods for noise estimation and speech enhancement. A speech presence detection method is used to find connected time-frequency regions of speech presence. These regions are used by a noise estimationmethod and both the speech presence decisions and the noise estimate are used in the speech enhancement method. Different attenuation rules are applied to regions ...

2015
Vinay Singh

This paper deals with the problem of speech enhancement when a corrupted speech signal with an additive Gaussian white noise is the only information available for processing. Speech enhancement aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal p...

1998
David A. Heide George S. Kang

Throughout the history of telecommunication, speech has rarely been transmitted with its full analog bandwidth (0 to 8 kHz or more) due to limitations in channel bandwidth. This impaired legacy continues with tactical voice communication. The passband of a voice terminal is typically 0 to 4 kHz. Hence, high-frequency speech components (4 to 8 kHz) are removed prior to transmission. As a result,...

2012
Meng Yu Jack Xin

It is well known that human conversational speech is “sparse” in time domain, comprising of many “off” time segments. This suggests the utility of the “off” time nature for the task of speech enhancement. We propose an efficient dualmicrophone method based on regularized cross-channel cancellation to distinguish the overlapping and single speech segments in the multi-speaker conversational envi...

2006
Chris Davis Amanda Sironic Jeesun Kim

Seeing the talker improves the intelligibility of speech degraded by noise (a visual speech enhancement effect). This experiment examined whether this enhancement is greater when the speech signals were recorded in noise compared to when they were recorded in quiet. Ten sentences were spoken by four people either in-quiet or whilst they were listening to cocktail party noise (in-noise). The vis...

2013
K.Ravi Kumar

This paper deals with residual musical noise which results from the perceptual speech enhancement type algorithms and especially using wiener filtering approach. Perceptual speech enhancement techniques perform better than the non perceptual techniques, most of them still return a trouble residual musical noise. This is due to that only noise above the noise masking threshold (NMT) is filtered ...

2012
G. SANDEEP

Speech enhancement aims to improve speech quality by using various algorithms. The objective of enhancement is improvement in intelligibility and/or overall perceptual quality of degraded speech signal using audio signal processing techniques. Enhancing of speech degraded by noise, or noise reduction, is the most important field of speech enhancement. In this paper a Robust speech enhancement m...

2008
Xin Zou Peter Jancovic Münevver Köküer Martin J. Russell

This paper proposes a novel ICA-based MAP speech enhancement algorithm using multiple variable speech distribution models. The proposed algorithm consists of two stages, primary and advanced enhancement. The primary enhancement is performed by employing a single distribution model obtained from all speech signals. The advanced enhancement first employs multiple models of speech signals, each mo...

2008
Björn W. Schuller Martin Wöllmer Tobias Moosmayr Gerhard Rigoll

The performance of automatic speech recognition systems strongly decreases whenever the speech signal is disturbed by background noise. We aim to improve noise robustness focusing on all major levels of speech recognition: feature extraction, feature enhancement, and speech modeling. Different auditory modeling concepts, speech enhancement techniques, training strategies, and model architecture...

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