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Multiple microphone dereverberation system

The Journal of the Acoustical Society of America, 1979
A circuit for reducing reverberative interference utilizes a pair of spatially separated microphones to obtain speech signals from a common sound source. Each speech signal is transformed into an envelope representative signal having rapid increases responsive to direct path and echo energy bursts from the sound source and exponential decaying portions
Susan W. Christensen, Cecil H. Coker
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Overfitting-Resistant Speech Dereverberation

2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2007
This paper proposes a method that prevents the overfitting problem inherent in the joint source-channel estimation approach to speech dereverberation. The approach has several desirable attributes such as high estimation accuracy. However, the channel-related parameters estimated with the conventional implementation of this approach often overfit the ...
Takuya Yoshioka   +3 more
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An Overview of Speech Dereverberation

2021
Speech dereverberation is an important preprocessing step in speech signal processing, aims at improving the sound quality by canceling or suppressing the effect of reverb. This paper provides an overview of speech dereverberation algorithms, showing the development of speech dereverberation technology.
Yuan Li, Lunhui Deng
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Multimicrophone Based Speech Dereverberation

2018
Speech signal received by distant microphones in real environments contains reverberation and noise. This deteriorates the quality of received signal. However to improve the speech quality, it is essential to remove reverberation and noise. The process of removing reverberation and reproducing original speech is called dereverberation.
Seema Vitthal Arote   +1 more
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Dereverberation after water migration

SEG Technical Program Expanded Abstracts 1998, 1998
Steeply dipping residual reverberations are commonly observed after conventional, single trace, lagged dereverberation. An empirical study of the kinematics of water-bottom reverberations has led to the development of a simple procedure that fully dereverberates zerooffset seismic data with a flat water-bottom and arbitrarily dipping sub-surface events.
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Dereverberation by Linear Systems Techniques

IEEE Transactions on Geoscience Electronics, 1971
A linear system approach is presented for the modeling of a stationary layered medium assuming representation by a finite number of thin layers and wave propagation normal to these layers. A linear recursive mathematical model is developed and a method for the identification of parameters is discussed. The results, although specifically derived for the
John A. Schell   +2 more
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Frame-Online DNN-WPE Dereverberation

2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), 2018
Signal dereverberation using the weighted prediction error (WPE) method has been proven to be an effective means to raise the accuracy of far-field speech recognition. But in its original formulation, WPE requires multiple iterations over a sufficiently long utterance, rendering it unsuitable for online low-latency applications.
Jahn Heymann   +4 more
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Single-Microphone Blind Dereverberation

2005
Although a number of dereverberation methods have been studied, dereverberation is still a challenging problem especially when using a single microphone. An important aspect of single-channel speech enhancement is the characteristic feature of speech signals that allows us to restore the quality of source signals.
Tomohiro Nakatani   +2 more
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Bayesian learning for speech dereverberation

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), 2016
This study presents a Bayesian approach to enhance the magnitude spectra of single-channel reverberant speech signals. Speech dereverberation model is constructed by using a nonnegative convolutive transfer function (NCTF) and a nonnegative matrix factorization (NMF).
Jen-Tzung Chien, You-Cheng Chang
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Towards Speech Recognition Oriented Dereverberation

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
We show the effect of reverberation on the speech recognition performance in a far-field microphone. Given the reference of a close-talk microphone signal, an improvement is shown using an asymmetric non-causal inverse filter both in a synthetic and real room environment.
P. Jinachitra, R.E. Prieto
openaire   +1 more source

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