Results 121 to 130 of about 215 (163)

A dereverberation formulation based on sparsity

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
The dereverberation problem can be cast as a sparsity-based minimization problem, by making use of the short-time Fourier transform (STFT), provided that the room impulse response is known. However, in such a formulation, especially if the room impulse response is longer than the window employed in the STFT, minimization of the resulting cost function ...
Aziz Kocanaogullari, Ilker Bayram
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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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Statistical models for speech dereverberation

2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009
This paper discusses a statistical-model-based approach to speech dereverberation. With this approach, we first define parametric statistical models of probability density functions (pdfs) for a clean speech signal and a room transmission channel, then estimate the model parameters, and finally recover the clean speech signal by using the pdfs with the
Takuya Yoshioka, Hirokazu Kameoka, Tomohiro Nakatani, Hiroshi G. Okuno   +3 more
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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, Mangesh Sudhir Deshpande   +1 more
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Method and apparatus for dereverberation

The Journal of the Acoustical Society of America, 1999
In a method and an apparatus for dereverberation provided speech from speaker is received by a first and second channel microphones which are disposed at different locations, and is input to a first and a second channel reverberant speech input terminal.
Kenichi Furuya, Yutaka Kaneda
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Human capabilities of dereverberation

The Journal of the Acoustical Society of America, 2000
Humans listening to speech in a small room are frequently unaware of reverberation. It is unknown if neurological processes remove these echoes or if they are simply disregarded when speech is phonetically processed. In other words, is there a neurological mechanism that is capable of removing echoes to create a clean speech neurological signal before ...
Brad W. Libbey, Peter H. Rogers
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Dereverberation for Speaker Identification in Meeting

2014
Current state-of-the-art speaker identification is a well-established research problem but reverberation is still a major issue used in real meeting scenarios. Dereverberation is essential for many applications such as speaker identification and speech recognition to improve the quality and intelligibility of speech signal interrupted by real ...
Yi Yang 0039, Jia Liu 0001
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A blind subband-based dereverberation algorithm

2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010
In this work, we develop a two-stage blind dereverberation scheme for reverberant speech enhancement. The proposed algorithm operates by first splitting the reverberant inputs into different subbands. In the first stage, the inverse filters are estimated using the blind multiple input-output inverse-filtering theorem (MINT), while in the second stage ...
Oldooz Hazrati, Kostas Kokkinakis, Philipos C. Loizou   +2 more
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Cepstrum based deconvolution for speech dereverberation

Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
We propose an algorithm for the restoration of speech that has been degraded through addition of multiple echoes. The proposed scheme processes the outputs of two microphones using cepstra operations and the theory of signal reconstruction from phase only.
Athina P. Petropulu, Suresh Subramaniam
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Group sparsity for mimo speech dereverberation

2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015
Reverberation can severely affect the speech signals recorded in a room, possibly leading to a significantly reduced speech quality and intelligibility. In this paper we present a batch algorithm employing a signal model based on multi-channel linear prediction in the short-time Fourier transform domain. Aiming to achieve multiple-input multiple-output
Ante Jukic, Toon van Waterschoot, Timo Gerkmann, Simon Doclo   +3 more
openaire   +1 more source