Speech 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 "...

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Bibliografiska uppgifter
Huvudupphovsmän: Benesty, Jacob, 19..-, Chen, Jingdong (Författare, medförfattare), Makino, Shoji, 1956- (Författare, medförfattare)
Materialtyp: Livre numérique
Språk:Anglais
Publicerad: Berlin, Heidelberg : Springer Berlin Heidelberg 2005.
Cham : Springer Nature
Serie:Signals and Communication Technology
Länkar:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Anmärkning: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Speech Enhancement, Texte imprimé, 9783540805885
• Speech Enhancement, Texte imprimé, 9783642063176
• Speech Enhancement, Texte imprimé, 9783540240396
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245 1 0 |a Speech Enhancement   |c by Jacob Benesty, Shoji Makino, Jingdong Chen. 
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505 0 |a Study of the Wiener Filter for Noise Reduction -- Statistical Methods for the Enhancement of Noisy Speech -- Single- and Multi-Microphone Spectral Amplitude Estimation Using a Super-Gaussian Speech Model -- From Volatility Modeling of Financial Time-Series to Stochastic Modeling and Enhancement of Speech Signals -- Single-Microphone Noise Suppression for 3G Handsets Based on Weighted Noise Estimation -- Signal Subspace Techniques for Speech Enhancement -- Speech Enhancement: Application of the Kalman Filter in the Estimate-Maximize (EM) Framework -- Speech Distortion Weighted Multichannel Wiener Filtering Techniques for Noise Reduction -- Adaptive Microphone Array Employing Spatial Quadratic Soft Constraints and Spectral Shaping -- Single-Microphone Blind Dereverberation -- Separation and Dereverberation of Speech Signals with Multiple Microphones -- Frequency-Domain Blind Source Separation -- Subband Based Blind Source Separation -- Real-Time Blind Source Separation for Moving Speech Signals -- Separation of Speech by Computational Auditory Scene Analysis. 
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506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a 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, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field. 
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700 1 |a Makino, Shoji,  |d 1956-  |4 aut 
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