Canonical Correlation Analysis in Speech Enhancement

This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both single-channel and multichannel speech enhancement. Enhancement of noisy speech has been a challenging problem for many researchers over the past few decades and remains an active research area. Typically, speech enhancement algorithms operate in the short-time Fourier transform (STFT) domain, where the clean speech spectral coefficients are estimated using a multiplicative gain function. A filtering approach, which can be performed in the time domain or in the subband domain, obtains an estimate of the clean speech sample at every time instant or time-frequency bin by applying a filtering vector to the noisy speech vector. Compared to the multiplicative gain approach, the filtering approach more naturally takes into account the correlation of the speech signal in adjacent time frames. In this study, the authors pursue the filtering approach and show how to apply CCA to the speech enhancement problem. They also address the problem of adaptive beamforming from the CCA perspective, and show that the well-known Wiener and minimum variance distortionless response (MVDR) beamformers are particular cases of a general class of CCA-based adaptive beamformers.

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  • Author : Jacob Benesty
  • Publisher : Springer
  • Pages : 121 pages
  • ISBN : 3319670204
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKCanonical Correlation Analysis in Speech Enhancement

Canonical Correlation Analysis in Speech Enhancement

Canonical Correlation Analysis in Speech Enhancement
  • Author : Jacob Benesty,Israel Cohen
  • Publisher : Springer
  • Release : 31 August 2017
GET THIS BOOKCanonical Correlation Analysis in Speech Enhancement

This book focuses on the application of canonical correlation analysis (CCA) to speech enhancement using the filtering approach. The authors explain how to derive different classes of time-domain and time-frequency-domain noise reduction filters, which are optimal from the CCA perspective for both single-channel and multichannel speech enhancement. Enhancement of noisy speech has been a challenging problem for many researchers over the past few decades and remains an active research area. Typically, speech enhancement algorithms operate in the short-time Fourier transform (

Fundamentals of Speech Enhancement

Fundamentals of Speech Enhancement
  • Author : Jacob Benesty
  • Publisher : Springer
  • Release : 09 February 2018
GET THIS BOOKFundamentals of Speech Enhancement

This book presents and develops several important concepts of speech enhancement in a simple but rigorous way. Many of the ideas are new; not only do they shed light on this old problem but they also offer valuable tips on how to improve on some well-known conventional approaches. The book unifies all aspects of speech enhancement, from single channel, multichannel, beamforming, time domain, frequency domain and time–frequency domain, to binaural in a clear and flexible framework. It starts with

Speech Enhancement

Speech Enhancement
  • Author : Philipos C. Loizou
  • Publisher : CRC Press
  • Release : 25 February 2013
GET THIS BOOKSpeech Enhancement

With the proliferation of mobile devices and hearing devices, including hearing aids and cochlear implants, there is a growing and pressing need to design algorithms that can improve speech intelligibility without sacrificing quality. Responding to this need, Speech Enhancement: Theory and Practice, Second Edition introduces readers to the basic pr

Speech Enhancement

Speech Enhancement
  • Author : Jacob Benesty,Jesper Rindom Jensen,Mads Graesboll Christensen,Jingdong Chen
  • Publisher : Elsevier
  • Release : 04 January 2014
GET THIS BOOKSpeech Enhancement

Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for solving this problem are linear filtering, like the classical Wiener filter, and subspace methods. These approaches have traditionally been treated as different classes of methods and have been introduced in somewhat different contexts. Linear filtering methods originate in stochastic processes, while subspace methods have largely been based on developments in numerical linear algebra and matrix approximation theory. This book bridges the

Speech Enhancement

Speech Enhancement
  • Author : Jacob Benesty,Jesper Rindom Jensen,Mads Graesboll Christensen,Jingdong Chen
  • Publisher : Academic Press
  • Release : 24 June 2021
GET THIS BOOKSpeech Enhancement

Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two of the conventional approaches for solving this problem are linear filtering, like the classical Wiener filter, and subspace methods. These approaches have traditionally been treated as different classes of methods and have been introduced in somewhat different contexts. Linear filtering methods originate in stochastic processes, while subspace methods have largely been based on developments in numerical linear algebra and matrix approximation theory. This book bridges the

Speech Enhancement in the STFT Domain

Speech Enhancement in the STFT Domain
  • Author : Jacob Benesty,Jingdong Chen,Emanuël A.P. Habets
  • Publisher : Springer Science & Business Media
  • Release : 18 September 2011
GET THIS BOOKSpeech Enhancement in the STFT Domain

This work addresses this problem in the short-time Fourier transform (STFT) domain. We divide the general problem into five basic categories depending on the number of microphones being used and whether the interframe or interband correlation is considered. The first category deals with the single-channel problem where STFT coefficients at different frames and frequency bands are assumed to be independent. In this case, the noise reduction filter in each frequency band is basically a real gain. Since a gain does

Speech Enhancement

Speech Enhancement
  • Author : Jacob Benesty,Shoji Makino,Jingdong Chen
  • Publisher : Springer Science & Business Media
  • Release : 30 March 2006
GET THIS BOOKSpeech Enhancement

A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.

Speech Enhancement

Speech Enhancement
  • Author : Shoji Makino,Jingdong Chen
  • Publisher : Springer Science & Business Media
  • Release : 17 March 2005
GET THIS BOOKSpeech Enhancement

We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement,

Speech Enhancement

Speech Enhancement
  • Author : Philipos C. Loizou
  • Publisher : CRC Press
  • Release : 25 February 2013
GET THIS BOOKSpeech Enhancement

With the proliferation of mobile devices and hearing devices, including hearing aids and cochlear implants, there is a growing and pressing need to design algorithms that can improve speech intelligibility without sacrificing quality. Responding to this need, Speech Enhancement: Theory and Practice, Second Edition introduces readers to the basic problems of speech enhancement and the various algorithms proposed to solve these problems. Updated and expanded, this second edition of the bestselling textbook broadens its scope to include evaluation measures and

Audio Source Separation and Speech Enhancement

Audio Source Separation and Speech Enhancement
  • Author : Emmanuel Vincent,Tuomas Virtanen,Sharon Gannot
  • Publisher : John Wiley & Sons
  • Release : 22 October 2018
GET THIS BOOKAudio Source Separation and Speech Enhancement

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

Metaheuristic Applications to Speech Enhancement

Metaheuristic Applications to Speech Enhancement
  • Author : Prajna Kunche,Sub Reddy
  • Publisher : Springer
  • Release : 21 April 2016
GET THIS BOOKMetaheuristic Applications to Speech Enhancement

This book serves as a basic reference for those interested in the application of metaheuristics to speech enhancement. The major goal of the book is to explain the basic concepts of optimization methods and their use in heuristic optimization in speech enhancement to scientists, practicing engineers, and academic researchers in speech processing. The authors discuss why it has been a challenging problem for researchers to develop new enhancement algorithms that aid in the quality and intelligibility of degraded speech. They

Fractional Fourier Transform Techniques for Speech Enhancement

Fractional Fourier Transform Techniques for Speech Enhancement
  • Author : Prajna Kunche,N. Manikanthababu
  • Publisher : Springer
  • Release : 22 May 2020
GET THIS BOOKFractional Fourier Transform Techniques for Speech Enhancement

This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications. The authors discuss the complexities involved in the highly non- stationary signal processing and the concepts of FRFT for speech enhancement applications. The book explains the fundamentals of FRFT as well as its implementation in

A Perspective on Single-channel Frequency-domain Speech Enhancement

A Perspective on Single-channel Frequency-domain Speech Enhancement
  • Author : Jacob Benesty,Yiteng Huang
  • Publisher : Morgan & Claypool Publishers
  • Release : 24 June 2021
GET THIS BOOKA Perspective on Single-channel Frequency-domain Speech Enhancement

This book focuses on a class of single-channel noise reduction methods that are performed in the frequency domain via the short-time Fourier transform (STFT). The simplicity and relative effectiveness of this class of approaches make them the dominant choice in practical systems. Even though many popular algorithms have been proposed through more than four decades of continuous research, there are a number of critical areas where our understanding and capabilities still remain quite rudimentary, especially with respect to the relationship