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A Region-Growing Permutation Alignment Approach in Frequency-Domain Blind Source Separation of Speech Mixtures

Lin Wang, Heping Ding, Fuliang Yin
2011 IEEE Transactions on Audio, Speech, and Language Processing  
Abstract-The convolutive blind source separation (BSS) problem can be solved efficiently in the frequency domain, where instantaneous BSS is performed separately in each frequency bin.  ...  Bin-wise permutation alignment is applied first across all frequency bins, using the correlation of separated signal powers; then the full frequency band is partitioned into small regions based on the  ...  Mei for his invaluable discussions. The authors would also like to thank Dr. H. Sawada for fruitful discussions and providing information on the original work.  ... 
doi:10.1109/tasl.2010.2052244 fatcat:tvodzp54svdj3nkghq7h6rga44

Combining Superdirective Beamforming and Frequency-Domain Blind Source Separation for Highly Reverberant Signals

Lin Wang, Heping Ding, Fuliang Yin
2010 EURASIP Journal on Audio, Speech, and Music Processing  
Frequency-domain blind source separation (BSS) performs poorly in high reverberation because the independence assumption collapses at each frequency bins when the number of bins increases.  ...  The performance of the proposed method is investigated by separating up to 4 sources in different environments with reverberation time from 100 ms to 700 ms.  ...  reduced by blind source separation. (2) The poor separation performance of blind source separation in reverberant environments is compensated for by beamforming, which suppresses the reflected paths and  ... 
doi:10.1186/1687-4722-2010-797962 fatcat:n2p5a5ws5fflppva6ffwk656ii

Combining Superdirective Beamforming and Frequency-Domain Blind Source Separation for Highly Reverberant Signals

Lin Wang, Heping Ding, Fuliang Yin
2010 EURASIP Journal on Audio, Speech, and Music Processing  
Frequency-domain blind source separation (BSS) performs poorly in high reverberation because the independence assumption collapses at each frequency bins when the number of bins increases.  ...  The performance of the proposed method is investigated by separating up to 4 sources in different environments with reverberation time from 100 ms to 700 ms.  ...  reduced by blind source separation. (2) The poor separation performance of blind source separation in reverberant environments is compensated for by beamforming, which suppresses the reflected paths and  ... 
doi:10.1155/2010/797962 fatcat:fc4l45rko5afva5zq2r5cjpby4

A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments

Robert Aichner, Herbert Buchner, Fei Yan, Walter Kellermann
2006 Signal Processing  
In this paper, we present an efficient real-time implementation of a broadband algorithm for blind source separation (BSS) of convolutive mixtures.  ...  The algorithms were investigated in a reverberant office room and in noisy car environments verifying that the proposed method ensures high separation performance in realistic scenarios. r  ...  In [4] a class of broadband algorithms was derived, for both the time domain and frequency domain, i.e., the frequency bins are no longer considered to be independent for realworld time-domain signals  ... 
doi:10.1016/j.sigpro.2005.06.022 fatcat:rbj3y5vd7jbjfm3bq5wvdyadrm

A generalization of blind source separation algorithms for convolutive mixtures based on second-order statistics

H. Buchner, R. Aichner, W. Kellermann
2005 IEEE Transactions on Speech and Audio Processing  
In this paper, we present a general broadband approach to blind source separation (BSS) for convolutive mixtures based on second-order statistics.  ...  The concept is applicable to offline, online, and block-online algorithms by introducing a general weighting function allowing for tracking of time-varying real acoustic environments.  ...  ACKNOWLEDGMENT The authors wish to thank the anonymous reviewers for their useful comments which stimulated new results on convergence and on the internal permutation problem.  ... 
doi:10.1109/tsa.2004.838775 fatcat:2xyqpr2jevfkjobxlomahslvwy

Batch and Adaptive PARAFAC-Based Blind Separation of Convolutive Speech Mixtures

D Nion, K N Mokios, N D Sidiropoulos, A Potamianos
2010 IEEE Transactions on Audio, Speech, and Language Processing  
We present a frequency-domain technique based on PARAllel FACtor (PARAFAC) analysis that performs multichannel blind source separation (BSS) of convolutive speech mixtures.  ...  Finally, a low-complexity adaptive version of the BSS algorithm is proposed that can track changes in the mixing environment.  ...  In this paper, we focus on BSS of speech signals recorded in a reverberant environment.  ... 
doi:10.1109/tasl.2009.2031694 fatcat:bn4b6bnnvfa6doyrr67rrai3si

Real-Time Convolutive Blind Source Separation Based on a Broadband Approach [chapter]

Robert Aichner, Herbert Buchner, Fei Yan, Walter Kellermann
2004 Lecture Notes in Computer Science  
In this paper we present an efficient real-time implementation of a broadband algorithm for blind source separation (BSS) of convolutive mixtures.  ...  Experimental results for moving speakers in a reverberant room show that the proposed method ensures high separation performance.  ...  speech signals should be extracted from mixtures of multiple speakers in a usually reverberant acoustic environment.  ... 
doi:10.1007/978-3-540-30110-3_106 fatcat:i3jicdrusbhuxeb2jptsfpjncq

Models For Blind Speech Dereverberation: A Subband All-Pole Filtered Block Stationary Autoregressive Process

James Hopgood
2005 Zenodo  
Publication in the conference proceedings of EUSIPCO, Antalya, Turkey, 2005  ...  INTRODUCTION Audio signals acquired in a confined acoustic environment usually exhibit reverberation, due to the physical separation between the source and microphone, which distorts the source signal;  ...  In some engineered scenarios, microphone arrays can be used to transform the problem into a multi-channel blind source separation problem.  ... 
doi:10.5281/zenodo.39100 fatcat:pe347x6hbjfjndaybbzn4bjnle

Frequency domain TRINICON-based blind source separation method with multi-source activity detection for sparsely mixed signals [article]

Zelin Wang, Jing Lu, Kai chen
2018 arXiv   pre-print
The TRINICON ('Triple-N ICA for convolutive mixtures') framework is an effective blind signal separation (BSS) method for separating sound sources from convolutive mixtures.  ...  In this paper, the offline dual-channel frequency domain TRINICON implementation for sparsely mixed signals is investigated, and a multi-source activity detection is proposed to locate the active period  ...  A prominent example is the so-called cocktail party problem [1] , where individual speech signals are expected to be extracted from mixtures of multiple speakers in a reverberant acoustic environment.  ... 
arXiv:1802.09005v1 fatcat:tk2xrbkhy5fhfgqscbnpncvimq

About Multichannel Speech Signal Extraction and Separation Techniques

Adel Hidri, Souad Meddeb, Hamid Amiri
2012 Journal of Signal and Information Processing  
The extraction of a desired speech signal from a noisy environment has become a challenging issue.  ...  In fact, this study tries to classify these multichannel techniques into three main ones: Beamforming, Independent Com-ponent Analysis (ICA) and Time Frequency (T-F) masking.  ...  This structure, designed for multipath environments namely reverberant enclosures, replaces the simpler delay compensator with a matched filter.  ... 
doi:10.4236/jsip.2012.32032 fatcat:c2edxeqyivfwvczdwzvzhbermu

An acoustic keystroke transient canceler for speech communication terminals using a semi-blind adaptive filter model

Herbert Buchner, Jan Skoglund, Simon Godsill
2016 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
In this paper we propose an acoustic keystroke transient canceler for speech communication terminals as a novel broadband adaptive filter application in such a hands-free scenario.  ...  We present this approach in the context of the Google Chromebook Pixel device which is equipped with a special audio reference channel providing various new signal processing possibilities.  ...  Having expressed the error signal in a compact partitionedblock frequency-domain notation, similarly compact formulations of frequency-domain adaptive filter (FDAF) algorithms, based on a block-based optimization  ... 
doi:10.1109/icassp.2016.7471748 dblp:conf/icassp/BuchnerSG16 fatcat:grdy77r3zfawzikqq3tajgtkyq

Reverberation features identification from music recordings using the discrete wavelet transform

Ren Gang, Mark F. Bocko, Dave Headlam
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
First, we perform a short time Fourier transform to transform the audio signal into a 2D time-frequency representation in which reverberation features appear as blurring of spectral features in the time  ...  This paper presents a method of extracting reverberation features from music recordings.  ...  Also important for characterizing an acoustic space is the reverberation time in different frequency ranges.  ... 
doi:10.1109/icassp.2010.5496094 dblp:conf/icassp/GangBH10 fatcat:k2hc4b2dszd5letkxbnwdxzda4

Multichannel Speech Enhancement [chapter]

Lino Garcia, Soledad Torres-Guijarro
2008 New Developments in Robotics Automation and Control  
electronics or the acoustic environment; and time-domain distortion due to reflection and reverberation in the acoustic environment.  ...  In the same way, for the block gradient estimation, it is necessary to employ the same error vector in the frequency-domain for each partition q and channel p .  ... 
doi:10.5772/6291 fatcat:gympckrwszhnng5xkvkr3omb7q

Modulation-Domain Kalman Filtering for Monaural Blind Speech Denoising and Dereverberation

Nikolaos Dionelis, Mike Brookes
2019 IEEE/ACM Transactions on Audio Speech and Language Processing  
The proposed algorithm is evaluated in terms of speech quality, speech intelligibility and dereverberation performance for a range of reverberation parameters and reverberant speech to noise ratios, in  ...  We describe a monaural speech enhancement algorithm based on modulation-domain Kalman filtering to blindly track the time-frequency log-magnitude spectra of speech and reverberation.  ...  Speech enhancement in noisy reverberant environments, for human listeners, is challenging.  ... 
doi:10.1109/taslp.2019.2894909 fatcat:e5nm42bk65cchanjrantb4eroq

Real-time multiple sound source localization using a circular microphone array based on single-source confidence measures

Despoina Pavlidi, Matthieu Puigt, Anthony Griffin, Athanasios Mouchtaris
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
sound source sparsity which is derived from blind source separation methods.  ...  We propose a novel real-time adaptative localization approach for multiple sources using a circular array, in order to suppress the localization ambiguities faced with linear arrays, and assuming a weak  ...  arrays, and assuming a weak sparsity assumption which is derived from blind source separation methods.  ... 
doi:10.1109/icassp.2012.6288455 dblp:conf/icassp/PavlidiPGM12 fatcat:di4qh4oicfd3fat5rmybuntw7u
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