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020 _a9783319745244
024 7 _a10.1007/978-3-319-74524-4
_2doi
050 4 _aTK7882.S65 2018 EB
040 _aES-MaUEC
_bspa
100 1 _aBenesty, Jacob
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_0http://id.loc.gov/authorities/names/n00001625
_1http://viaf.org/viaf/85410897/
_9673239
245 1 0 _aFundamentals of Speech Enhancement
_cby Jacob Benesty.
264 1 _aCham
_bSpringer International Publishing
_c2018
300 _a1 recurso en línea (VIII, 106 páginas)
347 _atext file
_bPDF
490 0 _aSpringerBriefs in Electrical and Computer Engineering
_x2191-8112
520 3 _aThis 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 an exhaustive discussion on the fundamental best (linear and nonlinear) estimators, showing how they are connected to various important measures such as the coefficient of determination, the correlation coefficient, the conditional correlation coefficient, and the signal-to-noise ratio (SNR). It then goes on to show how to exploit these measures in order to derive all kinds of noise reduction algorithms that can offer an accurate and versatile compromise between noise reduction and speech distortion.
650 7 _aReconocimiento automático del lenguaje
_2embne
_9147323
776 0 8 _iEdición impresa:
_z9783319745237
776 0 8 _iEdición impresa:
_z9783319745251
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-74524-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490 0 _aEngineering (Springer-11647)
988 _aEBSPRINGER_2018
998 _b02/2019
_dz
_ef
_feng
_ggw
_h0
999 _c103010
_d103010
_x1