000			03562nam a22003975i 4500
001			304798
003			MX-SnUAN
005			20170705134305.0
007			cr nn 008mamaa
008			150903s2012 gw | o |||| 0|eng d
020			_a9783642232503 _99783642232503
024	7		_a10.1007/9783642232503 _2doi
035			_avtls000357672
039		9	_a201509030542 _bVLOAD _c201405070219 _dVLOAD _y201402191321 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTK5102.9
100	1		_aBenesty, Jacob. _eautor _9302475
245	1	0	_aSpeech Enhancement in the STFT Domain / _cby Jacob Benesty, Jingdong Chen, Emanuël A.P. Habets.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012.
300			_avii, 109 páginas 5 ilustraciones _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aSpringerBriefs in Electrical and Computer Engineering
500			_aSpringer eBooks
505	0		_aIntroduction -- Single-Channel Speech Enhancement with a Gain -- Single-Channel Speech Enhancement with a Filter -- Multichannel Speech Enhancement with Gains -- Multichannel Speech Enhancement with Filters -- The Bifrequency Spectrum in Speech Enhancement -- Summary and Perspectives.
520			_aThis 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 not improve the signal-to-noise ratio (SNR) for any given subband and frame, the noise reduction is basically achieved by liftering the subbands and frames that are less noisy while weighing down on those that are more noisy. The second category also concerns the single-channel problem. The difference is that now the interframe correlation is taken into account and a filter is applied in each subband instead of just a gain. The advantage of using the interframe correlation is that we can improve not only the long-time fullband SNR, but the frame-wise subband SNR as well. The third and fourth classes discuss the problem of multichannel noise reduction in the STFT domain with and without interframe correlation, respectively. In the last category, we consider the interband correlation in the design of the noise reduction filters. We illustrate the basic principle for the single-channel case as an example, while this concept can be generalized to other scenarios. In all categories, we propose different optimization cost functions from which we derive the optimal filters and we also define the performance measures that help analyzing them.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aChen, Jingdong. _eautor _9302474
700	1		_aHabets, Emanuël A.P. _eautor _9343727
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783642232497
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-23250-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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