Blind Speech Separation / Najlacnejšie knihy
Blind Speech Separation

Code: 01417455

Blind Speech Separation

by Shoji Makino, Te-Won Lee, Hiroshi Sawada

This is the first book to provide a cutting edge reference to the fascinating topic of blind source separation (BSS) for convolved speech mixtures. Through contributions by the foremost experts on the subject, the book provides an ... more

214.68


Low in stock at our supplier
Shipping in 12 - 17 days

Potřebujete více kusů?Máte-li zájem o více kusů, prověřte, prosím, nejprve dostupnost titulu na naši zákaznické podpoře.


Add to wishlist

You might also like

Give this book as a present today
  1. Order book and choose Gift Order.
  2. We will send you book gift voucher at once. You can give it out to anyone.
  3. Book will be send to donee, nothing more to care about.

Book gift voucher sampleRead more

More about Blind Speech Separation

You get 530 loyalty points

Book synopsis

This is the first book to provide a cutting edge reference to the fascinating topic of blind source separation (BSS) for convolved speech mixtures. Through contributions by the foremost experts on the subject, the book provides an up-to-date account of research findings, explains the underlying theory, and discusses potential applications. The individual chapters are designed to be tutorial in nature with specific emphasis on an in-depth treatment of state of the art techniques.§§Blind Speech Separation is divided into three parts:§Part 1 presents overdetermined or critically determined BSS. Here the main technology is independent component analysis (ICA). ICA is a statistical method for extracting mutually independent sources from their mixtures. This approach utilizes spatial diversity to discriminate between desired and undesired components, i.e., it reduces the undesired components by forming a spatial null towards them. It is, in fact, a blind adaptive beamformer realized by unsupervised adaptive filtering.§§Part 2 addresses underdetermined BSS, where there are fewer microphones than source signals. Here, the sparseness of speech sources is very useful; we can utilize time-frequency diversity, where sources are active in different regions of the time-frequency plane.§§Part 3 presents monaural BSS where there is only one microphone. Here, we can separate a mixture by using the harmonicity and temporal structure of the sources. We can build a probabilistic framework by assuming a source model, and separate a mixture by maximizing the a posteriori probability of the sources.

Book details

Book category Książki po angielsku Technology, engineering, agriculture Electronics & communications engineering Communications engineering / telecommunications

214.68

Trending among others



Osobní odběr Bratislava a 2642 dalších

Copyright ©2008-24 najlacnejsie-knihy.sk Wszelkie prawa zastrzeżonePrywatnieCookies


Konto: Logowanie
Všetky knihy sveta na jednom mieste. Navyše za skvelé ceny.

Nákupní košík ( prázdný )

Nakupte za 59,99 € a
máte doručení zdarma.

Twoja lokalizacja: