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System Approach To Robust Acoustic Echo Cancellation Through Semi Blind Source Separation Based On Independent Component Analysis
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Book Synopsis System Approach to Robust Acoustic Echo Cancellation Through Semi-blind Source Separation Based on Independent Component Analysis by : Ted S. Wada
Download or read book System Approach to Robust Acoustic Echo Cancellation Through Semi-blind Source Separation Based on Independent Component Analysis written by Ted S. Wada and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in a dynamic world full of noises and interferences. The conventional acoustic echo cancellation (AEC) framework based on the least mean square (LMS) algorithm by itself lacks the ability to handle many secondary signals that interfere with the adaptive filtering process, e.g., local speech and background noise. In this dissertation, we build a foundation for what we refer to as the system approach to signal enhancement as we focus on the AEC problem. :We first propose the residual echo enhancement (REE) technique that utilizes the error recovery nonlinearity (ERN) to "enhances" the filter estimation error prior to the filter adaptation. The single-channel AEC problem can be viewed as a special case of semi-blind source separation (SBSS) where one of the source signals is partially known, i.e., the far-end microphone signal that generates the near-end acoustic echo. SBSS optimized via independent component analysis (ICA) leads to the system combination of the LMS algorithm with the ERN that allows for continuous and stable adaptation even during double talk. Second, we extend the system perspective to the decorrelation problem for AEC, where we show that the REE procedure can be applied effectively in a multi-channel AEC (MCAEC) setting to indirectly assist the recovery of lost AEC performance due to inter-channel correlation, known generally as the "non-uniqueness" problem. We develop a novel, computationally efficient technique of frequency-domain resampling (FDR) that effectively alleviates the non-uniqueness problem directly while introducing minimal distortion to signal quality and statistics. We also apply the system approach to the multi-delay filter (MDF) that suffers from the inter-block correlation problem. Finally, we generalize the MCAEC problem in the SBSS framework and discuss many issues related to the implementation of an SBSS system. We propose a constrained batch-online implementation of SBSS that stabilizes the convergence behavior even in the worst case scenario of a single far-end talker along with the non-uniqueness condition on the far-end mixing system. :The proposed techniques are developed from a pragmatic standpoint, motivated by real-world problems in acoustic and audio signal processing. Generalization of the orthogonality principle to the system level of an AEC problem allows us to relate AEC to source separation that seeks to maximize the independence, hence implicitly the orthogonality, not only between the error signal and the far-end signal, but rather, among all signals involved. The system approach, for which the REE paradigm is just one realization, enables the encompassing of many traditional signal enhancement techniques in analytically consistent yet practically effective manner for solving the enhancement problem in a very noisy and disruptive acoustic mixing environment.
Book Synopsis Audio Source Separation and Speech Enhancement by : Emmanuel Vincent
Download or read book Audio Source Separation and Speech Enhancement written by Emmanuel Vincent and published by John Wiley & Sons. This book was released on 2018-07-24 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: Consolidated perspective on audio source separation and speech enhancement. Both historical perspective and latest advances in the field, e.g. deep neural networks. Diverse disciplines: array processing, machine learning, and statistical signal processing. Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.
Book Synopsis From Blind to Semi-Blind Acoustic Source Separation Based on Independent Component Analysis by : Andreas Brendel
Download or read book From Blind to Semi-Blind Acoustic Source Separation Based on Independent Component Analysis written by Andreas Brendel and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Blind Source Separation Using Frequency Independent Component Analysis by : Gozie Okwelume
Download or read book Blind Source Separation Using Frequency Independent Component Analysis written by Gozie Okwelume and published by LAP Lambert Academic Publishing. This book was released on 2010-07 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for speech enhancement is very important, because of the acoustic environment we are living in, which is composed of noise and other atmospheric disturbances, and this makes it almost impossible to record a speech signal in pure form. In most of the mixed signals there is usually no information about each source. In such situation the estimates of the original source signals is done based on the information of the received mixed signals, therefore the approach to be adopted in such cases to separate the signals must be one that does it blindly, thus the method Blind Source Separation is used in this work. Our thesis work focuses on Frequency domain Blind Source Separation (BSS) in which the received mixed signals are converted into the frequency domain and Independent Component Analysis (ICA) is applied at each frequency bin. Our main target in this project is to solve the permutation and scaling ambiguities in real time applications using the method proposed by Minje et al in [12]. Our results show that this method works better in an "offline" mixtures than in real time and lastly we gave some suggestions to improve the results.
Book Synopsis Audio Source Separation by : Shoji Makino
Download or read book Audio Source Separation written by Shoji Makino and published by Springer. This book was released on 2018-03-01 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the first comprehensive overview of the fascinating topic of audio source separation based on non-negative matrix factorization, deep neural networks, and sparse component analysis. The first section of the book covers single channel source separation based on non-negative matrix factorization (NMF). After an introduction to the technique, two further chapters describe separation of known sources using non-negative spectrogram factorization, and temporal NMF models. In section two, NMF methods are extended to multi-channel source separation. Section three introduces deep neural network (DNN) techniques, with chapters on multichannel and single channel separation, and a further chapter on DNN based mask estimation for monaural speech separation. In section four, sparse component analysis (SCA) is discussed, with chapters on source separation using audio directional statistics modelling, multi-microphone MMSE-based techniques and diffusion map methods. The book brings together leading researchers to provide tutorial-like and in-depth treatments on major audio source separation topics, with the objective of becoming the definitive source for a comprehensive, authoritative, and accessible treatment. This book is written for graduate students and researchers who are interested in audio source separation techniques based on NMF, DNN and SCA.
Book Synopsis Audio source separation using independent component analysis and beam formation by : Kishan Panaganti
Download or read book Audio source separation using independent component analysis and beam formation written by Kishan Panaganti and published by GRIN Verlag. This book was released on 2014-02-05 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project Report from the year 2013 in the subject Audio Engineering, grade: 10, , course: ECE, language: English, abstract: Audio source separation is the problem of automated separation of audio sources present in a room, using a set of differently placed microphones, capturing the auditory scene. The whole problem resembles the task a human can solve in a cocktail party situation, where using two sensors (ears), the brain can focus on a specific source of interest, suppressing all other sources present (cocktail party problem). For computational and conceptual simplicity this problem is often represented as a linear transformation of the original audio signals. In other words, each component (multivariate signal) of the representation is a linear combination of the original variables (original subcomponents). In signal processing, independent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents by assuming that the subcomponents are non-Gaussian signals and that they are all statistically independent from each other. Such a representation seems to capture the essential structure of the data in many applications. Here we separate audio using different criteria suggested for ICA, being PCA (Principal Component Analysis), Non-gaussianity maximization using kurtosis and neg-entropy methods, frequency domain approach using non-gaussianity maximization and beamforming.
Book Synopsis A Perspective on Stereophonic Acoustic Echo Cancellation by : Jacob Benesty
Download or read book A Perspective on Stereophonic Acoustic Echo Cancellation written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2011-07-25 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Single-channel hands-free teleconferencing systems are becoming popular. In order to enhance the communication quality of these systems, more and more stereophonic sound devices with two loudspeakers and two microphones are deployed. Because of the coupling between loudspeakers and microphones, there may be strong echoes, which make real-time communication very difficult. The best way we know to cancel these echoes is via a stereo acoustic echo canceller (SAEC), which can be modelled as a two-input/two-output system with real random variables. In this work, the authors recast this problem into a single-input/single-output system with complex random variables thanks to the widely linear model. From this new convenient formulation, they re-derive the most important aspects of a SAEC, including identification of the echo paths with adaptive filters, double-talk detection, and suppression.
Book Synopsis Advances in Network and Acoustic Echo Cancellation by : J. Benesty
Download or read book Advances in Network and Acoustic Echo Cancellation written by J. Benesty and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together many advanced topics in network and acoustic echo cancellation aimed towards enhancing the echo cancellation performance of next-generation telecommunication systems. The resulting compendium provides a coherent treatment of such topics not found otherwise in journals or other books.
Book Synopsis Independent Component Analysis by : Aapo Hyvärinen
Download or read book Independent Component Analysis written by Aapo Hyvärinen and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in image processing, telecommunications, audio signal processing, and more. Independent Component Analysis is divided into four sections that cover: * General mathematical concepts utilized in the book * The basic ICA model and its solution * Various extensions of the basic ICA model * Real-world applications for ICA models Authors Hyvarinen, Karhunen, and Oja are well known for their contributions to the development of ICA and here cover all the relevant theory, new algorithms, and applications in various fields. Researchers, students, and practitioners from a variety of disciplines will find this accessible volume both helpful and informative.
Book Synopsis Independent Component Analysis for Audio and Biosignal Applications by : Ganesh R. Naik
Download or read book Independent Component Analysis for Audio and Biosignal Applications written by Ganesh R. Naik and published by IntechOpen. This book was released on 2012-10-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Recently, Blind Source Separation (BSS) by ICA has received considerable attention because of its potential signal-processing applications such as speech enhancement systems, image processing, telecommunications, medical signal processing and several data mining issues. This book brings the state-of-the-art of some of the most important current research of ICA related to Audio and Biomedical signal processing applications. The book is partly a textbook and partly a monograph. It is a textbook because it gives a detailed introduction to ICA applications. It is simultaneously a monograph because it presents several new results, concepts and further developments, which are brought together and published in the book.
Book Synopsis Blind Speech Separation by : Shoji Makino
Download or read book Blind Speech Separation written by Shoji Makino and published by Springer. This book was released on 2007-09-20 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the world’s first edited book on independent component analysis (ICA)-based blind source separation (BSS) of convolutive mixtures of speech. This book brings together a small number of leading researchers to provide tutorial-like and in-depth treatment on major ICA-based BSS topics, with the objective of becoming the definitive source for current, comprehensive, authoritative, and yet accessible treatment.
Book Synopsis Acoustic Echo Cancellation Using Blind Source Separation Principles by : Song Wang
Download or read book Acoustic Echo Cancellation Using Blind Source Separation Principles written by Song Wang and published by . This book was released on 2003 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Optimal Algorithms for Blind Source Separation by : Ye Liang
Download or read book Optimal Algorithms for Blind Source Separation written by Ye Liang and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Effective Source Separation Algorithm Using NMF and Sparse NMF for Acoustic Fall Detection by : Yanlin Wang (Electrical engineering graduate)
Download or read book Effective Source Separation Algorithm Using NMF and Sparse NMF for Acoustic Fall Detection written by Yanlin Wang (Electrical engineering graduate) and published by . This book was released on 2014 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: In applications such as audio denoising, it is favourable to decompose a recording into its respective sources. Two commonly used methods are principal component analysis (PCA) and independent component analysis (ICA). However, such approaches perform poorly when no training data is given. To overcome these issues, we propose another promising and effective algorithm to do so, which is based on non-negative matrix factorization (NMF). The method works by decomposing the time-frequency domain of the signal into separated parts which correspond to respective sources. The sparsity constraint is introduced to address the number of the bases. The sparse NMF is then proposed to find the appropriate number of bases during the factorization, which yields more convincing and accurate model of the original data. To verify the advantage of the proposed method, we develop an acoustic fall detection system. For the simulated tasks, we find that sparse NMF based source separation is better than its NMF based counterpart in terms of approximation accuracy and detection performance. Overall, the result demonstrates that our proposed approach is a powerful separation method and motivates further work in source separation.
Book Synopsis A Subband and Noise Robust Approach to Stereophonic Acoustic Echo Cancellation by : Neil Thomas Forsyth
Download or read book A Subband and Noise Robust Approach to Stereophonic Acoustic Echo Cancellation written by Neil Thomas Forsyth and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Blind Source Separation of Audible Signals Using Independent Component Analysis by : Richard Carl Burnett
Download or read book Blind Source Separation of Audible Signals Using Independent Component Analysis written by Richard Carl Burnett and published by . This book was released on 1999 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Model-based Optimum Filtering Approach to Acoustic Echo Control by : Gerald Werner Enzner
Download or read book A Model-based Optimum Filtering Approach to Acoustic Echo Control written by Gerald Werner Enzner and published by . This book was released on 2006 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:
